Logo UNIPVM

PRIMO ZINGARETTI

Pubblicazioni

PRIMO ZINGARETTI

 

246 pubblicazioni classificate nel seguente modo:

Nr. doc. Classificazioni
150 4 Contributo in Atti di Convegno (Proceeding)
51 1 Contributo su Rivista
43 2 Contributo in Volume
2 5 Altro
Anno Risorsa
2019 Sharing health data among general practitioners: The Nu.Sa. project
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
Autore/i: Frontoni, Emanuele; Mancini, Adriano; Baldi, Marco; Paolanti, Marina; Moccia, Sara; Zingaretti, Primo; Landro, Vincenzo; Misericordia, Paolo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266851 Collegamento a IRIS

2019 Setting of a precision farming robotic laboratory for cropping system sustainability and food safety and security: Preliminary results
IOP CONFERENCE SERIES. EARTH AND ENVIRONMENTAL SCIENCE
Autore/i: Orsini, R.; Basili, D.; Belletti, M.; Bentivoglio, D.; Bozzi, C. A.; Chiappini, S.; Conti, C.; Galli, A.; Giorgini, E.; Fiorentini, M.; Malinverni, E. S.; Mancini, A.; Mazzanti, L.; Monaci, E.; Passerini, G.; Pro, C.; Santilocchi, R.; Vignini, A.; Zenobi, S.; Zingaretti, P.
Classificazione: 1 Contributo su Rivista
Abstract: The acceleration of Digital Agriculture is evident through the increased adoption of digital technologies on farms including smart machines, sensors and cloud computing. In this paper we present the preliminary results of the research project funded by Università Politecnica delle Marche in 2018 "PFRLab: Setting of a precision farming robotic laboratory for cropping system sustainability and food safety and security", which is still underway. In this context, as first result, an interdepartmental Research and Services Center called "Smart Farming" has been set up with the aim to strengthen multidisciplinary collaborations in the fields of Agriculture and Forestry, Geomatics, ICT and Robotics. Regarding field activities the SPAD 502 as well as Normalized Difference Vegetation Index (NDVI) provide a good estimate of the Chlorophylla+b content in durum wheat leaves so can be used to predict in a quickly and non-destructively way, the crop greenness status and to identify any nutritional deficiencies in real time. Future research activities are certainly needed to fully explore the potentialities of conservation agriculture and precision farming, and to drive the transition process from conventional agriculture to modern conservation agriculture and precision farming techniques. In-depth studies are planned on the combined effect of nitrogen fertilization and soil management on the main production variables of durum wheat in order to evaluate whether specific tools for precision agriculture applications can find significant diffusion even in Mediterranean cereal based cropping systems.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266945 Collegamento a IRIS

2018 Design and test of a real-time shelf out-of-stock detector system
MICROSYSTEM TECHNOLOGIES
Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Contigiani, Marco; Bello, Luigi Di; Placidi, Valerio
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240005 Collegamento a IRIS

2018 Introduction to the Special Issue on Applications of Mechatronic and Embedded Systems (MESA) in ITS
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Autore/i: Bertozzi, Massimo; Chen, Bo; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254075 Collegamento a IRIS

2018 A methodological approach to fully automated highly accelerated life tests
MICROSYSTEM TECHNOLOGIES
Autore/i: Massi, Gionata; Morganti, Gianluca; Claudi, Andrea; Zingaretti, Primo; Mancini, Adriano; Frontoni, Emanuele
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254077 Collegamento a IRIS

2018 Mechatronic System to Help Visually Impaired Users during Walking and Running
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254076 Collegamento a IRIS

2018 Mechatronic and Embedded Systems for Robotics and Mobile Machines
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
Autore/i: Callegari, M.; Zingaretti, P.
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/254094 Collegamento a IRIS

2018 Automatic Mosaic Digitalization: a Deep Learning approach to tessera segmentation
METROARCHEO, IEEE International Conference on Metrology for Archaeology and Cultural Heritage
Autore/i: Felicetti, A.; Albiero, A.; Gabrielli, R.; Pierdicca, R.; Paolanti, M.; Zingaretti, P.; Malinverni, E. S.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: A mosaic, made of small coloured tiles, called tesserae or tessellas, is a form of decorative art to create images and patterns on a surface. One of the first steps to obtain digital mosaics is the segmentation process to separate (identify) tesserae. Then, various tools are necessary to catalog the digitalized scenes, to extract the figures, such as animal or human beings, from the puzzle of small pieces, to geolocalize the segmented objects and to assign a semantic meaning to them. While some mosaic segmentation approaches have already been reported in the literature, currently, mosaic segmentation is still done by human operators, resulting time consuming and error prone. We propose in this paper an automatic approach, based on Deep Learning, to segment the mosaic floor tesserae of the church of S. Stephen in Umm ar Rasas. Our approach allows to obtain automatically and with good reliability the description of the main elements of a mosaic (the tesserae) that are not homogeneous. The experients performed on the collected tesserae dataset yield high accuracies and demonstrate the effectiveness and suitability of our approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265914 Collegamento a IRIS

2018 Deep convolutional neural network for automatic detection of damaged photovoltaic cells
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Autore/i: Pierdicca, R.; Malinverni, E. S.; Piccinini, F.; Paolanti, M.; Felicetti, A.; Zingaretti, P.
Editore: International Society for Photogrammetry and Remote Sensing
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoringand maintaining a PV plant has become of great importance and involves many challenges as efficiency, reliability, safety, and stability.This paper presents the novel approach to estimate the PV cells degradations with DCNNs. While many studies have performedimages classification, to the best of our knowledge, this is the first exploitation of data acquired with a drone equipped with a thermalinfrared sensor. The experiments on “Photovoltaic images Dataset”, a collected dataset, are presented to show the degradation problemand comprehensively evaluate the method presented in this research. Results in terms of precision, recall and F1-score show theeffectiveness and the suitability of the proposed approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265911 Collegamento a IRIS

2018 Use of an energy harvesting smart floor for indoor localization of people
INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY
Autore/i: Contigiani, Marco; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Gatto, Andrea; Groppo, Riccardo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265996 Collegamento a IRIS

2018 Energy harvesting applied to smart shoes
INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY
Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Gatto, Andrea
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265995 Collegamento a IRIS

2018 Person re-identification with RGB-D camera in top-view configuration through multiple nearest neighbor classifiers and neighborhood component features selection
SENSORS
Autore/i: Paolanti, Marina; Romeo, Luca; Liciotti, Daniele; Cenci, Annalisa; Frontoni, Emanuele; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265999 Collegamento a IRIS

2018 Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment
Proceedings - International Conference on Pattern Recognition
Autore/i: Liciotti, Daniele; Paolanti, Marina; Pietrini, Rocco; Frontoni, Emanuele; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/266000 Collegamento a IRIS

2018 A Synergic Photometric Stereo and Super Resolution Approach for Optical Inspection
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
Autore/i: Galdelli, Alessandro; Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265997 Collegamento a IRIS

2018 Improving Variable Rate Treatments by Integrating Aerial and Ground Remotely Sensed Data
2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/265998 Collegamento a IRIS

2018 An IoT Solution for Energy Management at Building and District Level
2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: Arnesano, Marco; Dyson, Jack; Fagiani, Marco; Mancini, Adriano; Revel, Gian Marco; Severini, Marco; Squartini, Stefano; Zampetti, Lorenzo; Zingaretti, Primo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Today the monitoring of energy variables plays a key-role in the proper management of buildings to optimize costs along with the low emission profile and comfortable environments. The monitoring could be augmented by adding also optimization aspects that could decrease the energy/costs. Up to now the optimization is performed by using building and context (district) data, but with no or rough evaluation of comfort conditions delivered to the occupants. The work presented in this paper is derived from the ENERGIS project that takes into account individual buildings and districts including detailed comfort conditions representing a novelty in the Energy Management System. The monitoring is used to locally sense the energy demand while the optimization is performed at two different scales. The first optimization tries to consider different aspects related to the thermal management of rooms, supported by a novel sensor that is able to evaluate the comfort taking into account the room model and to control the thermal actuators to track a comfort set-point. The second level of optimization starts from the collected data from each building to set-up a district model that is able to map and then predict the energy demand enabling an energy management that is built on the concept of “sharing”. This paper outlines the overall system architecture that exploits the benefit of IoT also showing the first optimization level performed on a business office showing the overall pipeline that starts from the sensing of environment and ends with the control of actuators to track an optimized set-point.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/259045 Collegamento a IRIS

2017 Shelf space re-allocation for out of stock reduction
COMPUTERS & INDUSTRIAL ENGINEERING
Autore/i: Frontoni, E.; Marinelli, F.; Rosetti, R; Zingaretti, P.
Classificazione: 1 Contributo su Rivista
Abstract: An ILP formulation is proposed for Shelf space re-allocation problem.Out-of-stock data are collected from the Shelf Detector System in real time.Space elastic demand function is linked with real-time statistical data.Tests performed on real, random and large instances. A planogram is a detailed visual map that establishes product positions over a shelf in a retail store. It is designed to support an innovative merchandising approach, to increase sales and profits, to supply the best location of a product for suppliers and to better manage the shelves. Product selection and the shelf space reserved to each product is a central activity for retailers and Shelf Out of Stock (SOOS) events are often strongly related to planogram design. In this paper we present a solution to optimally re-allocate shelf space to minimize Out of Stock (OOS) events. The approach uses SOOS data coming in real time from a sensor network technology, named Shelf Detector System, and an Integer Linear Programming model that integrates a space elastic demand function. Experimental results, based on a real scenario in the diaper category in Belgium, have proved that the system can efficiently calculate a proper solution able to re-allocate space and reduce OOS events.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246103 Collegamento a IRIS

2017 Pervasive system for consumer behaviour analysis in retail environments
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Autore/i: Liciotti, Daniele; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246869 Collegamento a IRIS

2017 Person re-identification dataset with RGB-D camera in a top-view configuration
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Autore/i: Liciotti, Daniele; Paolanti, Marina; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246871 Collegamento a IRIS

2017 HDOMO: Smart sensor integration for an active and independent longevity of the elderly
SENSORS
Autore/i: Frontoni, Emanuele; Pollini, Rama; Russo, Paola; Zingaretti, Primo; Cerri, Graziano
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255836 Collegamento a IRIS

2017 Visual and textual sentiment analysis of brand-related social media pictures using deep convolutional neural networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Autore/i: Paolanti, Marina; Kaiser, Carolin; Schallner, René; Frontoni, Emanuele; Zingaretti, Primo
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255845 Collegamento a IRIS

2017 Soil / crop segmentation from remotely sensed data acquired by Unmanned Aerial System
2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017
Autore/i: Mancini, Adriano; Dyson, Jack; Frontoni, Emanuele; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255842 Collegamento a IRIS

2017 A clinical decision support system for chronic venous insufficiency
Proceedings of the ASME Design Engineering Technical Conference
Autore/i: Calamanti, Chiara; Cenci, Annalisa; Bernardini, Michele; Frontoni, Emanuele; Zingaretti, Primo
Editore: American Society of Mechanical Engineers (ASME)
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255844 Collegamento a IRIS

2017 Gestione di dati multimediali
Lavorare con i Big Data. La guida completa per il Data Scientist
Autore/i: Zingaretti, Primo
Editore: Tecniche Nuove
Luogo di pubblicazione: Milano
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/251712 Collegamento a IRIS

2017 Mobile robot for retail surveying and inventory using visual and textual analysis of monocular pictures based on deep learning
2017 European Conference on Mobile Robots, ECMR 2017
Autore/i: Paolanti, Marina; Sturari, Mirco; Mancini, Adriano; Zingaretti, Primo; Frontoni, Emanuele
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255840 Collegamento a IRIS

2017 Robotic platform for deep change detection for rail safety and security
2017 European Conference on Mobile Robots, ECMR 2017
Autore/i: Sturari, Mirco; Paolanti, Marina; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255839 Collegamento a IRIS

2017 Vehicle tracking and classification from videos under illumination changes and occlusions
Proceedings of the ASME Design Engineering Technical Conference
Autore/i: Sturari, Mirco; Esposto, Luca; Spurio, Christian; Tigano, Domenico; Mancini, Adriano; Zingaretti, Primo
Editore: American Society of Mechanical Engineers (ASME)
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255846 Collegamento a IRIS

2017 People Detection and Tracking from an RGB-D Camera in Top-View Configuration: Review of Challenges and Applications
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Autore/i: Liciotti, Daniele; Paolanti, Marina; Frontoni, Emanuele; Zingaretti, Primo
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/255843 Collegamento a IRIS

2017 Building detection in multi-source aerial data with imbalanced training samples: an approach based on the Bayesian Vector Quantizer
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION
Autore/i: Benvenuti, Filippo; Mancini, Adriano; Potena, Domenico; Diamantini, Claudia; Frontoni, Emanuele; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Abstract: The problem of building detection in multi-source aerial data has a large variety of applications from map updating to the detection of illegal construction. The development of a capability to integrate multispectral and LiDAR technologies has been proved to be the most effective strategy in dealing with the problem. An automated and combined approach enables such joint capabilities to process data, reducing human effort that is usually limited to the creation of training sets. This aspect plays a key role in getting accurate results and it is central to dealing with the problem of an imbalanced data set. We tailor the Bayesian Vector Quantizer algorithm (BVQ) to the problem of building detection from multi-source high-resolution aerial data like LiDAR with a focus on the imbalanced data set problem. The result is a methodology that is optimised towards the solution of strongly imbalanced problems where noise is present and where the number of training samples for buildings over classes like trees, land and grass is one order of magnitude lower. The formulation is compared with other well-adopted approaches which highlight the relative strengths of the BVQ approach.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/248350 Collegamento a IRIS

2017 Movements analysis of preterm infants by using depth sensor
ACM International Conference Proceeding Series
Autore/i: Cenci, Annalisa; Liciotti, Daniele; Frontoni, Emanuele; Zingaretti, Primo; Carnielli, Virgilio Paolo
Editore: Association for Computing Machinery
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/262398 Collegamento a IRIS

2017 Integrating elevation data and multispectral high-resolution images for an improved hybrid Land Use/Land cover mapping
EUROPEAN JOURNAL OF REMOTE SENSING
Autore/i: Sturari, Mirco; Frontoni, Emanuele; Pierdicca, Roberto; Mancini, Adriano; Malinverni, Eva Savina; Tassetti, Anna Nora; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/250295 Collegamento a IRIS

2017 Design of an interoperable framework with domotic sensors network integration
Consumer Electronics - Berlin (ICCE-Berlin), 2017 IEEE 7th International Conference on
Autore/i: Frontoni, Emanuele; Liciotti, Daniele; Paolanti, Marina; Pollini, Rama; Zingaretti, Primo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/256690 Collegamento a IRIS

2017 Whistland: An augmented reality crowd-mapping system for civil protection and emergency management
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Autore/i: Luchetti, Gioele; Mancini, Adriano; Sturari, Mirco; Frontoni, Emanuele; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246110 Collegamento a IRIS

2017 HMM-based Activity Recognition with a Ceiling RGB-D Camera
ICPRAM: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS
Autore/i: Duckett, Tom; Bellotto, Nicola; Zingaretti, Primo; Frontoni, Emanuele; Liciotti, Daniele
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/256824 Collegamento a IRIS

2017 An intelligent RGB-D video system for bus passenger counting
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Autore/i: Liciotti, Daniele; Cenci, Annalisa; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/246111 Collegamento a IRIS

2016 Smart maintenance of riverbanks using a standard data layer and augmented reality
COMPUTERS & GEOSCIENCES
Autore/i: Pierdicca, Roberto; Frontoni, Emanuele; Zingaretti, Primo; Mancini, Adriano; Malinverni, Eva Savina; Tassetti, Annanora; Marcheggiani, Ernesto; Galli, Andrea
Classificazione: 1 Contributo su Rivista
Abstract: Linear buffer strips (BS) along watercourses are commonly adopted to reduce run-off, accumulation of bank-top sediments and the leaking of pesticides into fresh-waters, which strongly increase water pollution. However, the monitoring of their conditions is a difficult task because they are scattered over wide rural areas. This work demonstrates the benefits of using a standard data layer and Augmented Reality (AR) in watershed control and outlines the guideline of a novel approach for the health-check of linear BS. We designed a mobile environmental monitoring system for smart maintenance of riverbanks by embedding the AR technology within a Geographical Information System (GIS). From the technological point of view, the system's architecture consists of a cloud-based service for data sharing, using a standard data layer, and of a mobile device provided with a GPS based AR engine for augmented data visualization. The proposed solution aims to ease the overall inspection process by reducing the time required to run a survey. Indeed, ordinary operational survey conditions are usually performed basing the fieldwork on just classical digitized maps. Our application proposes to enrich inspections by superimposing information on the device screen with the same point of view of the camera, providing an intuitive visualization of buffer strip location. This way, the inspection officer can quickly and dynamically access relevant information overlaying geographic features, comments and other contents in real time. The solution has been tested in fieldwork to prove at what extent this cutting-edge technology contributes to an effective monitoring over large territorial settings. The aim is to encourage officers, land managers and practitioners toward more effective monitoring and management practices
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236195 Collegamento a IRIS

2016 Implementation of a tracking system based on UWB technology in a retail environment
MESA 2016 - 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications - Conference Proceedings
Autore/i: Contigiani, Marco; Pietrini, Rocco; Mancini, Adriano; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240282 Collegamento a IRIS

2016 A cloud-based healthcare infrastructure for medical device integration: The bilirubinometer case study
MESA 2016 - 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications - Conference Proceedings
Autore/i: Cenci, Annalisa; Liciotti, Daniele; Ercoli, Ilaria; Zingaretti, Primo; Carnielli, Virgilio Paolo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240283 Collegamento a IRIS

2016 Optimal production planning by reusing components
24th Mediterranean Conference on Control and Automation, MED 2016
Autore/i: Frontoni, Emanuele; Marinelli, Fabrizio; Paolanti, Marina; Rosetti, Roberto; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240003 Collegamento a IRIS

2016 A multi/hyper-spectral imaging system for land use/land cover using unmanned aerial systems
2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240004 Collegamento a IRIS

2016 Analysing human movements at mass events: A novel mobile-based management system based on active beacons and AVM
24th Mediterranean Conference on Control and Automation, MED 2016
Autore/i: Frontoni, Emanuele; Mancini, Adriano; Pierdicca, Roberto; Sturari, Mirco; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240002 Collegamento a IRIS

2016 Optimization of obsolete part reusing: a case-study
Emerging Advances in Logistics Systems
Autore/i: Rosetti, R.; Frontoni, E.; Marinelli, F.; Zingaretti, P.
Editore: EUT EDIZIONI UNIVERSITÀ DI TRIESTE
Luogo di pubblicazione: Trieste
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/245821 Collegamento a IRIS

2016 Electromagnetic Technology for a New Class of Electronic Travel Aids Supporting the Autonomous Mobility of Visually Impaired People
Visually Impaired: Assistive Technologies, Challenges and Coping Strategies
Autore/i: DI MATTIA, Valentina; Scalise, Lorenzo; Petrini, Valerio; Russo, Paola; DE LEO, Alfredo; Pallotta, Emanuele; Mancini, Adriano; Zingaretti, Primo; Cerri, Graziano
Editore: Nova Science Publishers
Classificazione: 2 Contributo in Volume
Abstract: It is well known that the most common and largely used assistive technology among the visually impaired community is the white cane. Despite it is a passive technology with a very limited range of work, its easiness of use and low cost make still prevalent its use. Many technologies have been proposed as alternative assistive devices (in literature and on the market) to improve the autonomous mobility of people affected by eye diseases. Nevertheless, whatever is the physical quantity used by these active assistive technologies - mainly ultrasonic or optical sensors - they present many limitations and none of them adequately meets the international guidelines defined for the electronic travel aids and the specific requests coming from the visually impaired community. This chapter aims to provide an overview of the existing travel aids for people affected by visual disorders, discussing pros and cons of available technologies, and to describe the design and the characterization of a novel class of electronic travel aids based on electromagnetic fields, whose advantages, with respect to the traditional ultrasonic and optic devices, will be explained. Starting from a laboratory prototype, the aspects relative to the miniaturization of the device will be discussed, with a particular attention to the realization of a small radiating element to be attached onto the cane. Operative tests with a blind end user will be reported, demonstrating several potentialities of the electromagnetic technology: detecting in advance (few meters from the user) dangerous objects of different shape and material, detecting the presence of obstacles located at chest or head levels, providing the position of the obstacle respect to the user, easiness of use, etc.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235219 Collegamento a IRIS

2016 Current Developments in Robotics and Mobile Machines
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
Autore/i: Callegari, Massimo; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/230180 Collegamento a IRIS

2016 Multi-Point Stereovision System for Contactless Dimensional Measurements
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
Autore/i: Fulvio, Gianluca Di; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235068 Collegamento a IRIS

2016 Visual based landing for an unmanned quadrotor
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
Autore/i: Cocchioni, Francesco; Frontoni, Emanuele; Ippoliti, Gianluca; Longhi, Sauro; Mancini, Adriano; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Abstract: One of the main challenges for Unmanned Aerial Systems (UAVs) is to extend the endurance of small vehicles such as multi-rotors. Actually, Li-po batteries that guarantee a flight of about 20 min power this type of vehicles. The endurance can be extended by enabling vehicles to look for recharging station(s). In this paper, we propose a vision system able to detect and track a given pattern hosted on the target-landing platform. The pattern is also useful to estimate the UAV position while approaching the target or during the hovering close to the target. The paper focuses on an optimized adaptive thresholding technique that manages critical situations as changes in the scene’s illumination / shadows. The developed system runs at 90 Hz for processing a 752×480 grayscale image. Preliminary results on an NVidia Tegra Jetson K1 platform are also presented to distribute the computation between CPU and GPU.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/228731 Collegamento a IRIS

2016 Robust and affordable retail customer profiling by vision and radio beacon sensor fusion
PATTERN RECOGNITION LETTERS
Autore/i: Sturari, Mirco; Liciotti, Daniele; Pierdicca, Roberto; Frontoni, Emanuele; Mancini, Adriano; Contigiani, Marco; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235222 Collegamento a IRIS

2016 Cyberarchaeology: Improved way findings for archaeological parks through mobile augmented reality
Augmented Reality, Virtual Reality and Computer Graphics
Autore/i: Pierdicca, Roberto; Frontoni, Emanuele; Zingaretti, Primo; Malinverni, Eva Savina; Galli, Andrea; Marcheggiani, Ernesto; Costa, Carlos Smaniotto
Editore: De Paolis Lucio Tommaso, Mongelli Antonio
Luogo di pubblicazione: Lecce, Italy
Classificazione: 2 Contributo in Volume
Abstract: Latest improvement on mobile devices capabilities definitively changed the way people experience their surroundings. Thanks to the improvement of built in sensors, devices are able to sense the environment at users’ location. The ability to provide contextual services to the visitors is a key aspect to make public parks more accessible, comprehensible end enjoyable. The paper outlines the application of Augmented Reality technologies in a real case scenario. The aim is to equip visitors with an ICT tool able to enhance their perception visiting open spaces and parks. The reporting area chosen for the study case is an Archaeological park, the Cardeto, located within an urban green open space in the outskirts of Ancona, a city in central Italy. Ensuring the success of the experiment has required an hybrid approach, with the main objective of providing visitors with an endless flow of information, anytime and anywhere. To reach this result, a mobile application has been developed, exploiting two different tracking systems: location-based and edge-based. The first one helps users to move along with a network of given Points of Interest disseminated within the park. At the same time, the second system displays a rich set of information each time a user came in close the proximity with artefacts or valuable heritages. This work is part of a wider ongoing project aiming at a better understanding of the potentials inherent the design space for smartphones in context-aware AR applications for tourists. Our experiment demonstrates the validity of purposed methodology as a promising solution for Cultural Heritage purposes.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/236232 Collegamento a IRIS

2015 Development of a low-cost Unmanned Surface Vehicle for digital survey
2015 European Conference on Mobile Robots, ECMR 2015 - Proceedings
Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235070 Collegamento a IRIS

2015 Embedded vision sensor network for planogram maintenance in retail environments
SENSORS
Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235067 Collegamento a IRIS

2015 Automatic classification for anti mixup events in advanced manufacturing system
Proceedings of the ASME Design Engineering Technical Conference
Autore/i: Paolanti, Marina; Frontoni, Emanuele; Mancini, Adriano; Pierdicca, Roberto; Zingaretti, Primo
Editore: American Society of Mechanical Engineers (ASME)
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240012 Collegamento a IRIS

2015 Introduction to the Special Issue on Mechatronic and Embedded Systems and Applications in ITS
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Autore/i: Bertozzi, Massimo; Chen, Bo; Gao, Yanqing; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240011 Collegamento a IRIS

2015 Energy harvesting smart floor for indoor people localization and tracking
Proceedings of the ASME Design Engineering Technical Conference
Autore/i: Gatto, Andrea; Bassoli, Elena; Contigiani, Marco; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Editore: American Society of Mechanical Engineers (ASME)
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240013 Collegamento a IRIS

2015 Human activity analysis for in-home fall risk assessment
2015 IEEE International Conference on Communication Workshop, ICCW 2015
Autore/i: Liciotti, Daniele; Massi, Gionata; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235071 Collegamento a IRIS

2015 Low cost embedded system for increasing retail environment intelligence
2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015
Autore/i: Pierdicca, Roberto; Liciotti, Daniele; Contigiani, Marco; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235069 Collegamento a IRIS

2015 High-resolution mapping of river and estuary areas by using unmanned aerial and surface platforms
2015 International Conference on Unmanned Aircraft Systems, ICUAS 2015
Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo; Longhi, Sauro
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235072 Collegamento a IRIS

2015 Advanced Interaction with Paintings by Augmented Reality and High Resolution Visualization: A Real Case Exhibition
Augmented and Virtual Reality
Autore/i: Pierdicca, Roberto; Frontoni, Emanuele; Zingaretti, Primo; Sturari, Mirco; Clini, Paolo; Quattrini, Ramona
Editore: Springer International Publishing
Classificazione: 2 Contributo in Volume
Abstract: In this paper, an interactive installation system for the enjoyment of the cultural heritage in a real case museum environment is presented. By using Augmented Reality technology, mobile application and High Resolution visualization we provide the users with a visual augmentation of their surroundings and a touch interaction technique to display digital contents for cultural heritage promotion, allowing museum visitors to interact with digital contents in an intuitive and exciting manner. The exhibition here presented is the result of previous research over the use of new technologies (e.g. Augmented Reality) for Cultural Heritage promotion. Descriptions of the hardware system component and software development details are presented, with particular focus over the application implementation. Furthermore, we outline a possible Multimedia AR Installation connected with a semantic network.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/227611 Collegamento a IRIS

2015 Making visible the invisible. Augmented reality visualization for 3D reconstructions of archaeological sites
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Autore/i: Pierdicca, Roberto; Frontoni, Emanuele; Zingaretti, Primo; Malinverni, Eva Savina; Colosi, Francesca; Orazi, Roberto
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Abstract: In archaeology, findings are completely freed from the earth which had been covering for centuries but in most cases they must be cov- ered again in order to protect them. In this paper we present a augmented reality (AR) experience for the visualization of 3D models in-situ, giv- ing the possibility to see conceived findings. The experience was carried out for archaeological purposes in Chan Chan, the America’s greatest pre-Columbian town. From 2001, our mission is operating at Chan Chan carrying on a wide action of documentation, conservation and exploita- tion. We propose an interesting workflow: image acquisition, 3D pho- togrammetric reconstruction, 3D simplification, AR visualization. Also a knowledge base applied to archaeological sites is here presented.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/229160 Collegamento a IRIS

2015 Accurate modeling of the microwave treatment in reverberating chamber. sanitation of agro food material
Mediterranean Microwave Symposium
Autore/i: Paolanti, Marina; Bacchiani, Roberto; Frontoni, Emanuele; Mancini, Adriano; DE LEO, Roberto; Zingaretti, Primo; Bisceglia, Bruno
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240007 Collegamento a IRIS

2015 Exposure protocol setup for agro food treatment. Method and system for developing an application for heating in reverberation chamber
Mediterranean Microwave Symposium
Autore/i: Paolanti, Marina; Pollini, Rama; Frontoni, Emanuele; Mancini, Adriano; DE LEO, Roberto; Zingaretti, Primo; Bisceglia, Bruno
Editore: IEEE Computer Society
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240006 Collegamento a IRIS

2015 Non-Contact Monitoring of Preterm Infants Using RGB-D Camera
ASME Proceedings | 2015 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications
Autore/i: Cenci, Annalisa; Liciotti, Daniele; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In this study, we present a medical imaging method to estimate the preterm infant respiratory rate with a non invasive embedded RGB-D sensor. The respiratory rate is derived by measuring morphological chest wall movements with a depth sensor. The performances of our method are evaluated by comparing the values of respiratory rate measurements obtained using our method with those resulting from a standard reference device, used as a benchmark. Experimental results showed that the proposed method can correctly measure the respiratory rate in preterm infants and activates an alarm signal when respiratory rate values go out of the physiological range or when the infant remains stationary for a long time. As future development, the project can be used as multi-purpose non invasive test on movements and their symmetry or on the infants’ ability to correctly inflate.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/235078 Collegamento a IRIS

2015 Embedded Multisensor System for Safe Point-to-Point Navigation of Impaired Users
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Autore/i: Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo
Classificazione: 1 Contributo su Rivista
Abstract: New smart objects to improve the quality of life in the ambient assisted living (AAL) scenario are capturing the interest of researchers and companies. In particular, novel assistive technologies are being developed to make accessible street navigation to impaired people. The solution that we propose in this new application domain of intelligent transportation systems is a framework for a safe point-to-point navigation, owing to high-detailed road graphs, including sidewalks, crosswalks, and generic “obstacles.” The system is based on a low-cost modular sensor box (embedded hardware) interfaced with a mobile/phone application that acts as an intelligent navigator. The main novelty is the capability to sense the surrounding area while being able to perform a fast path replanning, owing to a real-time link to a remote server, if an obstacle is detected. The sensing is performed using different sensors, such as ultrasound, lidar, and a 77-GHz mid-range automotive radar (absolutely novel in the AAL context), which are processed and fused in the well-established robot operating system (ROS). We tested the framework by analyzing its performance in two different configurations and environments by using, respectively, a sonar and a laser rangefinder in a building scenario and a radar in an urban environment. Even if in both cases results demonstrated a quite good robustness in the obstacle detection with a quasi-real-time route replanning, we were mainly interested and succeeded in demonstrating the high flexibility and extensibility of our framework.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/234651 Collegamento a IRIS

2014 Feature group matching: a novel method to filter out incorrect local feature matchings
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Autore/i: Emanuele Frontoni; Adriano Mancini; Primo Zingaretti
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/129083 Collegamento a IRIS

2014 Information management for intelligent retail environment: the Shelf Detector system
INFORMATION
Autore/i: Emanuele Frontoni; Adriano Mancini; Primo Zingaretti; Valerio Placidi
Classificazione: 1 Contributo su Rivista
Abstract: Shelf out of stock is one of the leading motivations of technology innovation in the shelf of the future. The Shelf Detector project described in this paper aims to solve the problem of data knowledge in the shelf out of stock (SOOS) problem. This paper is mainly focused on the information layer of the system and main novelties illustrated in this work are in the information field demonstrating the huge number of insights that can be derived from the use of such a tool able to gather data in real time from the store. The tool presented is the first being installed for long time in a high number of stores and products demonstrating the ability to gather data from there and extract interesting insights. This paper aims to demonstrate the feasibility and the scalability of our system in providing a high number of data and interesting insights for store team and marketing team. The cloud based architecture developed and tested in this project is a key feature of our system together with the ability to collect data from a distributed sensor network.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/128495 Collegamento a IRIS

2014 Security Issues for Data Sharing and Service Interoperability in eHealth Systems: the Nu.Sa. Test Bed
IEEE International Carnahan Conference on Security Technologyis- ICCST
Autore/i: E. Frontoni; M. Baldi; P. Zingaretti; E. Landro; P. Misericordia
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210913 Collegamento a IRIS

2014 Real time out of shelf detection using embedded sensor network
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
Autore/i: E. Frontoni; A. Mancini; P. Zingaretti
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210927 Collegamento a IRIS

2014 A real-time reliability and durability testing framework
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
Autore/i: G. Massi; G. Morganti; A. Claudi; P. Zingaretti
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210928 Collegamento a IRIS

2014 GPU acceleration of feature extraction and matching algorithms
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
Autore/i: M. Marinelli; A. Mancini; P. Zingaretti
Editore: Institute of Electrical and Electronics Engineers Inc
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210915 Collegamento a IRIS

2014 An automatic analysis of shoppers behaviour using a distributed RGB-D cameras system
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
Autore/i: D. Liciotti; P. Zingaretti; V. Placidi
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210930 Collegamento a IRIS

2014 Point to point navigation for people with mobility impairments
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
Autore/i: A. Mancini; P. Zingaretti
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210929 Collegamento a IRIS

2014 Unmanned ground and aerial vehicles in extended range indoor and outdoor missions
2014 International Conference on Unmanned Aircraft Systems, ICUAS 2014 - Conference Proceedings
Autore/i: Cocchioni F.; Pierfelice V.; Benini A.; Mancini, Adriano; Frontoni, Emanuele; Zingaretti, Primo; Ippoliti, Gianluca; Longhi, Sauro
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/175115 Collegamento a IRIS

2014 Interoperability issues among smart home technological frameworks
Proc. of 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)
Autore/i: Rossi L.; Belli A.; De Santis A.; Diamantini C.; Frontoni E.; Gambi E.; Palma L.; Pernini L.; Pierleoni P.; Potena D.; Raffaeli L.; Spinsante S.; Zingaretti P.; Cacciagrano D.; Corradini F.; Culmone R.; De Angelis F.; Merelli E.; Re B.
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/193504 Collegamento a IRIS

2014 Welcome message
MESA 2014 - 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Conference Proceedings
Autore/i: Gao, Yanqing; Zingaretti, Primo; Koo, Ja Choon; Frontoni, Emanuele
Editore: Institute of Electrical and Electronics Engineers Inc.
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/240288 Collegamento a IRIS

2014 SIT-REM: An Interoperable and Interactive Web Geographic Information System for Fauna, Flora and Plant Landscape Data Management
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo; Malinverni, Eva; Pesaresi, Simone; Biondi, Edoardo; Pandolfi, Massimo; Marseglia, Maria; Sturari, Mirco; Zabaglia, Claudio
Classificazione: 1 Contributo su Rivista
Abstract: The main goal of the SIT-REM project is the design and the development of an interoperable web-GIS environment for the information retrieval and data editing/updating of the geobotanical and wildlife map of Marche Region. The vegetation, plant landscape and faunistic analysis allow the realization of a regional information system for wildlife-geobotanical data. A main characteristic of the SIT-REM is its flexibility and interoperability, in particular, its ability to be easily updated with the insertion of new types of environmental, faunal or socio-economic data and to generate analyses at any geographical (from regional to local) or quantitative level of detail. Different query levels obtain the latter: spatial queries, hybrid query builder and WMSs usable by means of a GIS. SIT-REM has been available online for more than a year and its use over this period has produced extensive data about users' experiences.. © 2014 by the authors; licensee MDPI, Basel, Switzerland
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225726 Collegamento a IRIS

2014 Advanced Integration of Multimedia Assistive Technologies: a prospective outlook
Proceedings of MESA 2014
Autore/i: D. Liciotti; G. Ferroni; E. Frontoni; S. Squartini; E. Principi; R. Bonfigli; P. Zingaretti; F. Piazza
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: In the recent years several studies on population ageing in the most advanced countries argued that the share of people older than 65 years is steadily increasing. In order to tackle this phenomena, a significant effort has been devoted to the development of advanced technologies for supervising the domestic environments and their inhabitants to provide them assistance in their own home. In this context, the present paper aims to delineate a novel, highly-integrated system for advanced analysis of human behaviours. It is based on the fusion of the audio and vision frameworks, developed at the Multimedia Assistive Technology Laboratory (MATeLab) of the Università Politecnica delle Marche, in order to operate in the ambient assisted living context exploiting audio-visual domain features. The existing video framework exploits vertical RGB-D sensors for people tracking, interaction analysis and users activities detection in domestic scenarios. The depth information has been used to remove the affect of the appearance variation and to evaluate users activities inside the home and in front of the fixtures. In addition, group interactions are monitored and analysed. On the other side, the audio framework recognises voice commands by continuously monitoring the acoustic home environment. In addition, a hands-free communication to a relative or to a healthcare centre is automatically triggered when a distress call is detected. Echo and interference cancellation algorithms guarantee the high-quality communication and reliable speech recognition, respectively. The system we intend to delineate, thus, exploits multi-domain information, gathered from audio and video frameworks each, and stores them in a remote cloud for instant processing and analysis of the scene. Related actions are consequently performed.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/179906 Collegamento a IRIS

2014 Integrating elevation data and multispectral high‐resolution images for an improved hybrid Land Use/Land Cover mapping
GEOBIA 2014, Αdvancements, trends and challenges, 5th Geographic Object-Based Image Analysis Conference
Autore/i: Malinverni, E.S.; Frontoni, E.; Mancini, A.; Tassetti, A.N.; Pierdicca, R.; Zingaretti, P.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225727 Collegamento a IRIS

2014 Smart maintenance‐real time visualization of GIS‐based information for river basin risks and hazard assessment
GEOBIA 2014, Αdvancements, trends and challenges, 5th Geographic Object-Based Image Analysis Conference
Autore/i: Malinverni, E.S.; Tassetti, A.N.; Pierdicca, R.; Frontoni, E.; Mancini, A.; Zingaretti, P.; Marcheggiani, E.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225729 Collegamento a IRIS

2014 RGBD Sensors for Human Activity Detection in AAL Environments
Ambient Assisted Living
Autore/i: Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/225724 Collegamento a IRIS

2014 Shopper Analytics: a customer activity recognition system using a distributed RGB-D camera network
Video Analytics for Audience Measurement
Autore/i: Daniele Liciotti; Marco Contigiani; Emanuele Frontoni; Adriano Mancini; Primo Zingaretti; Valerio Placidi
Editore: Springer Verlag
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210931 Collegamento a IRIS

2014 A stereovision system for dimensional measurementws in industrial robotics applications
Mechatronic and Embedded Systems and Applications (MESA), 2014 IEEE/ASME 10th International Conference on
Autore/i: G., Di Fulvio; Frontoni, Emanuele; Mancini, Adriano; Zingaretti, Primo
Editore: Institute of Electrical and Electronics Engineers Inc
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/210914 Collegamento a IRIS

2013 Road pavement crack automatic detection by MMS images
21st Mediterranean Conference on Control and Automation-MED 2013
Autore/i: A. Mancini; E. S. Malinverni; E. Frontoni; P. Zingaretti
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: The research topic was to test different feature extraction methods to localize road pavement cracks useful to construct a spatial database for the pavement distress monitoring. Several images were acquired by means of a line scan camera that assembled in a Mobile Mapping System (MMS) allows tracking directly the position of the images by a GPS-INS system. Following an automatic digital image processing was performed by means of several algorithms based on different approaches (edge detection and fuzzy set theory). The detected cracks were described with some parameters in relation to some shape characteristics (dimension, typology, direction), which are necessary to recognize the gravity of the road pavement conditions. The edge detection techniques tested in this research allowed identifying fatigue cracking or alligator cracking and also thin linear cracks in images with strong radiometric jumps by applying filters, gradient functions and morphological operators. The snake approach was one of them, in particular the type called Gradient Vector Flow (GVF). Another approach was based on the fuzzy theory. The advantage of this method is that the pixels, necessary to identify the cracks in road pavement, are darker than their surroundings in an image. The last stage was the pavement distress spatial database collection. The Mobile Mapping System (MMS) has allowed localizing the raster data and consequently the vector features of the detected cracks, associating into the table their attributes too. The proposed approaches allow to automatically localize and classify the kind of road pavement crack.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/129067 Collegamento a IRIS

2013 Smart vision system for shelf analysis in intelligent retail environments
MESA 2013
Autore/i: A. Mancini; E. Frontoni; P. Zingaretti; V. Placidi
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/104666 Collegamento a IRIS

2013 Energy Harvesting for Smart Shoes: A Real Life Application
MESA 2013
Autore/i: Emanuele Frontoni; Adriano Mancini; Primo Zingaretti; Andrea Gatto
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/104665 Collegamento a IRIS

2013 Customers’ activity recognition in intelligent retail environments
New Trends in Image Analysis and Processing – ICIAP 2013
Autore/i: E. Frontoni; P. Raspa; A. Mancini; P. Zingaretti; V. Placidi
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/129063 Collegamento a IRIS

2013 A Novel Method for Fast Processing of Large Remote Sensed Image
Image Analysis and Processing – ICIAP 2013
Autore/i: Adriano Mancini; Anna Nora Tassetti; Alessandro Cinnirella; Emanuele Frontoni; Primo Zingaretti
Classificazione: 2 Contributo in Volume
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/129065 Collegamento a IRIS

2013 Design and test of a precise mobile GPS tracker
21st Mediterranean Conference on Control and Automation
Autore/i: G. Luchetti; G. Servici; E. Frontoni; A. Mancini; P. Zingaretti
Editore: IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/129064 Collegamento a IRIS

2013 Development of intelligent service robots
INTELLIGENZA ARTIFICIALE
Autore/i: L. Iocchi; E. Menegatti; A. Bonarini; M. Matteucci; E. Pagello; L. C. Aiello; D. Nardi; F. Mastrogiovanni; A. Sgorbissa; R. Zaccaria; E. Frontoni; P. Zingaretti
Classificazione: 1 Contributo su Rivista
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/144078 Collegamento a IRIS

2012 Summarization of echo-Doppler videos for computer-aided diagnosis
Proceedings of 2012 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2012
Autore/i: Bucchi M.; Frontoni E.; Mancini A.; Zingaretti P.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/82748 Collegamento a IRIS

2012 Automatic road object extraction from Mobile Mapping Systems
Proceedings of 2012 8th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2012
Autore/i: Mancini A.; Frontoni E.; Zingaretti P.
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/82747 Collegamento a IRIS

2012 Object Road Extraction from Mobile Mapping System Dataset
Proceedings GIRPR12
Autore/i: A. Mancini; E. Frontoni; P. Zingaretti
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/104662 Collegamento a IRIS

2011 Utilizzo del contrasto di luminosità durante lo studio fmri per localizzare facilmente l’area V1 nell’uomo
I Congresso Nazionale di Neuroradiologia Funzionale
Autore/i: G.L. Cavola; G. Mascioli; M. Fabri; P. Zingaretti; U. Salvolini; G. Polonara
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/83515 Collegamento a IRIS

2011 Efficient traffic simulation using busses as active sensor network
2011ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, Parts A and B
Autore/i: L. Catani; E. Frontoni; P. Zingaretti; G. di Pasquale
Editore: American Society of Mechanical Engineering (ASME)
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: ASME/IEEE MESA 2011
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/74110 Collegamento a IRIS

2011 Helicopter safe landing using vision and 3D sensing
Proceedings of European Conference on Mobile Robots - ECMR 2011
Autore/i: P. Raspa; E. Frontoni; A. Mancini; P. Zingaretti; S. Longhi
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: 5th European Conference on Mobile Robots - ECMR 2011 Online Proceedings http://aass.oru.se/Agora/ECMR2011/proceedings.html
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/74149 Collegamento a IRIS

2011 UAVs safe landing using range images
2011ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, Parts A and B
Autore/i: E. Frontoni; A. Mancini; P. Zingaretti
Editore: American Society of Mechanical Engineering (ASME)
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: ASME/IEEE MESA 2011
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/74095 Collegamento a IRIS

2011 Adaptive extended Kalman filter for indoor/outdoor localization using a 802.15.4a wireless network
Proceedings of European Conference on Mobile Robots - ECMR 2011
Autore/i: A. Benini; A. Mancini; E. Frontoni; P. Zingaretti; S. Longhi
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: European Conference on Mobile Robots - ECMR 2011 Online Proceedings http://aass.oru.se/Agora/ECMR2011/proceedings.html
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/74137 Collegamento a IRIS

2011 Il progetto SIT REM per la pianificazione faunistico-botanica del territorio: un caso di cartografia interoperante e partecipativa
ATTI 15° Conferenza Nazionale ASITA
Autore/i: E. Frontoni; A. Mancini; P. Zingaretti; E.S. Malinverni
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/74155 Collegamento a IRIS

2011 Classificazione ad oggetti di mappe uso del suolo: esempi a confronto
ATTI 15ª Conferenza Nazionale ASITA 2011
Autore/i: E.S. Malinverni; E. Frontoni; A. Mancini; P. Zingaretti
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/74154 Collegamento a IRIS

2011 A simulation framework for coalition formation of Unmanned Aerial Vehicles
2011 19th Mediterranean Conference on Control & Automation (MED)
Autore/i: Benini A.; Mancini A.; Frontoni E.; Zingaretti P.; Longhi S.
Editore: IEEE
Classificazione: 4 Contributo in Atti di Convegno (Proceeding)
Abstract: Unmanned Aerial Vehicles (UAVs) and in particular quad-rotors are gaining an increasing interest owing to their flexibility and versatility. Today the challenge is to integrate these versatile platforms in a wide fleet in order to perform cooperative tasks as surveillance, search & rescue, inspection. The coalition formation problem is a pre-condition for cooperative missions. This problem can be solved with different methodologies from biologically-inspired algorithms to parasocial consensus sampling ones. In this paper a new framework for simulation of unmanned vehicles in cooperative scenarios is first presented. Then a novel method that exploits the benefits of Model Predictive Control (MPC) for a coalition formation problem (leader-follower) is introduced. The obtained results evidence the good performance of MPC to solve the problem of coalition formation for unmanned aerial vehicles finding the optimal solution taking into account different kind of constraints. The developed framework allows also to easily change from simulated agent to real one.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/66256 Collegamento a IRIS

2011 Hybrid Object-based Approach for Land Use /Land Cover Mapping using High Resolution Imagery
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Autore/i: MALINVERNI E.S.; TASSETTI A.N.; MANCINI A.; ZINGARETTI P.; FRONTONI E.; BERNARDINI A.
Classificazione: 1 Contributo su Rivista
Abstract: Traditionally, remote sensing has employed pixel-based classification techniques to deal with Land Use/Land Cover (LULC) studies. Generally, pixel-based approaches have been proven to work well with low spatial resolution imagery (e.g., Landsat or System Pour L’Observation de la Terre (SPOT) sensors). Now, however, commercially available high spatial resolution images (e.g., aerial Leica ADS40 and Vexcel UltraCam sensors, and satellite IKONOS, Quickbird, GeoEye and WorldView sensors) can be problematic for pixel-based analysis due to their tendency to oversample the scene. This is driving research towards object-based approaches. The paper proposes a hybrid classification method with the aim of incorporating the advantages of supervised pixel-based classification into object-based approaches. The method has been developed for medium scale (1:10.000) LULC mapping using ADS40 imagery with 1 m Ground Sampling Distance (GSD). First, spatial information is incorporated into a pixel-based classification (AdaBoost classifier) by means of additional texture features (Haralick, Gabor, Law features), which can be selected “ad hoc” according to optimal training samples (“Relief-F” approach, Mahalanobis distances). Then a rule-based approach sorts segmented regions into thematic CORINE Land Cover (CLC) classes in terms of membership class percentages (a modified Winner-Takes-All approach) and shape parameters. Finally, ancillary data (roads, rivers, etc.) are exploited to increase classification accuracy. The experimental results show that the proposed hybrid approach allows the extraction of more LULC classes than conventional pixel-based methods, while improving classification accuracy considerably. A second contribution of this paper is the assessment of classification reliability by implementing a stability map, in addition to confusion matrixes.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/65419 Collegamento a IRIS

2011 A Visual Global Positioning System for Unmanned Aerial Vehicles Used in Photogrammetric Applications
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
Autore/i: E. FRONTONI; A. MANCINI; A. ASCANI; P. ZINGARETTI; S. LONGHI
Classificazione: 1 Contributo su Rivista
Abstract: The combination of photogrammetric aerial and terrestrial recording methods can provide new opportunities for photogrammetric applications. A UAV (Unmanned Aerial Vehicle), in our case a helicopter system, can cover both the aerial and quasi-terrestrial image acquisition methods. A UAV can be equipped with an on-board high resolution camera and a priori knowledge of the operating area where to perform photogrammetric tasks. In this general scenario our paper proposes vision-based techniques for localizing a UAV. Only natural landmarks provided by a feature tracking algorithm will be considered, without the help of visual beacons or landmarks with known positions. The novel idea is to perform global localization, position tracking and localization failure recovery (kidnapping) based only on visual matching between current view and available georeferenced satellite images. The matching is based on SIFT features and the system estimates the position of the UAV and its altitude on the base of the reference image. The vision system replaces the GPS signal combining position information from visual odometry and georeferenced imagery. Georeferenced satellite or aerial images must be available on-board beforehand or downloaded during the flight. The growing availability, of high resolution satellite images (e.g., provided by Google Earth or other local information sources) makes this topic very interesting and timely. Experiments with both synthetic (i.e., taken from satellites or datasets and pre elaborated) and real world images have been performed to test the accuracy and the robustness of our method. Results show sufficient performance if compared with common GPS systems and give a good performance also in the altitude estimation, even if in this last case there are only preliminary results.
Scheda della pubblicazione: https://iris.univpm.it/handle/11566/31518 Collegamento a IRIS


Università Politecnica delle Marche

P.zza Roma 22, 60121 Ancona
Tel (+39) 071.220.1, Fax (+39) 071.220.2324
P.I. 00382520427