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