Nowadays video-surveillance systems are essential tools to monitor sites and to guarantee the safety of people: automatic detection of moving objects in the scene and recognition of dangerous events are particularly interesting. Our project aims to realize tools and techniques for video surveillance systems in outdoor environment to detect people in an automatic real-time way without the direct control of a human operator. The reference framework consists of distributed stationary cameras coordinated with sensor networks. In particular, wireless sensors are used to sense characteristic quantities of the monitored site, such as variations in temperature, humidity, noise, vibrations, and so on while cameras are used to obtain visual data on the site. These data are then locally processed to monitor interesting events concerning the safety of the monitored site and to recover information at a later time. A logical reasoning subsystem is responsible for the management of the whole system to allow complex analyses and infer a higher level representation of the outdoor environment. One of our research activities is related to the study of motion detection algorithms in a dynamically changing environment heavily subjected to illumination changes and constrained by the limited computational power of the devices used in the wireless sensor network. In such kind of distributed system, methods to track moving objects among the several distributed cameras plays a central role; these methods may establish geometrical relations among the different views of the cameras deployed in the site in order to univocally identify objects in the site and solve potential partial/total occlusion problems (consistent labelling). Moreover, automatically annotation of events on stored information is very useful in distributed video-surveillance system to provide a temporal representation of the events arisen in the site and to allow query over wide databases. In particular, information retrieval techniques based on visual content are also object of our research activities to automatically understand what happened in the site.
Ardizzone, E., LA CASCIA, M., & LO PRESTI, L. (2008). Integrating computer vision techniques and wireless sensor networks in video surveillance systems. In Atti della Prima Giornata di Studio sui Progetti di ricerca in Video Sorveglianza in Italia (pp.1-5).
|Autori:||Ardizzone, E.; LA CASCIA, M.; LO PRESTI, L.|
|Titolo:||Integrating computer vision techniques and wireless sensor networks in video surveillance systems|
|Settore Scientifico Disciplinare:||Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni|
|Data di creazione:||2008-05|
|Nome del convegno:||Prima Giornata di Studio sui Progetti di ricerca in Video Sorveglianza in Italia|
|Luogo del convegno:||Modena, Italy|
|Data di pubblicazione:||2008|
|Numero di pagine:||5|
|Citazione:||Ardizzone, E., LA CASCIA, M., & LO PRESTI, L. (2008). Integrating computer vision techniques and wireless sensor networks in video surveillance systems. In Atti della Prima Giornata di Studio sui Progetti di ricerca in Video Sorveglianza in Italia (pp.1-5).|
|Tipologia:||0 - Proceedings (TIPOLOGIA NON ATTIVA)|
|Appare nelle tipologie:||0 - Proceedings (TIPOLOGIA NON ATTIVA)|