DocumentCode :
1688577
Title :
Distributed Cognitive Sensor Network Approach for Surveillance Applications
Author :
Bixio, Luca ; Ciardelli, Lorenzo ; Ottonello, Marina ; Regazzoni, Carlo S.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Univ. of Genoa, Genoa, Italy
fYear :
2009
Firstpage :
232
Lastpage :
237
Abstract :
The application of intelligent systems composed by smart cameras is continuously spreading in a wide range of applications, playing a key role in public, military and commercial scenarios. As well, in the last years, the capability of wireless sensor networks to collect information from the environment in a distributed manner has been successfully applied in both civilian and military applications. In this paper, basing on recent studies on autonomous cognitive systems, we explore the concepts for designing interactive, adaptable and intelligent multi-sensor surveillance systems able to react to situations in a preventive way by using actuators placed in the monitored environment. To this end, taking inspiration from ambient intelligence (AmI) and cognitive radio (CR) paradigms, fusion of information provided by heterogeneous sensors is used to improve awareness regarding surrounding environment.
Keywords :
cognitive radio; sensor fusion; video surveillance; wireless sensor networks; adaptable multisensor surveillance system; ambient intelligence; cognitive radio; distributed cognitive sensor network; heterogeneous sensor; intelligent multisensor surveillance system; interactive multisensor surveillance system; surveillance application; wireless sensor network; Ambient intelligence; Chromium; Cognitive radio; Intelligent actuators; Intelligent sensors; Intelligent systems; Monitoring; Smart cameras; Surveillance; Wireless sensor networks; Ambient Intelligence; Cognitive Radio; Data Fusion; Intelligent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on
Conference_Location :
Genova
Print_ISBN :
978-1-4244-4755-8
Electronic_ISBN :
978-0-7695-3718-4
Type :
conf
DOI :
10.1109/AVSS.2009.99
Filename :
5279809
Link To Document :
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