DocumentCode :
3568427
Title :
Active-vision system for multi-target surveillance
Author :
Bakhtari, Ardevan ; Benhabib, Beno
Author_Institution :
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada
Volume :
3
fYear :
2005
fDate :
6/27/1905 12:00:00 AM
Firstpage :
1169
Abstract :
This paper presents a novel agent-based method for the dynamic, coordinated selection and positioning of groups of active-vision cameras for the surveillance of multiple object-of-interests as they travel through a cluttered environment with a priori unknown trajectories. The proposed dispatching algorithm has been tested via simulations and implemented on an experimental prototype setup for automated facial recognition. Both analyses have shown that the use of dynamic sensors along with an on-line dispatching algorithm can tangibly improve the performance of a surveillance system.
Keywords :
active vision; face recognition; surveillance; a priori unknown trajectories; active-vision camera system; agent-based method; automated facial recognition; cluttered environment; dynamic coordinated selection; dynamic sensors; multi-target surveillance; multiple object-of-interests surveillance; on-line dispatching algorithm; Cameras; Computer integrated manufacturing; Control systems; Dispatching; Educational institutions; Face recognition; Industrial engineering; Optical sensors; Sensor systems; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2005 IEEE International Conference
Print_ISBN :
0-7803-9044-X
Type :
conf
DOI :
10.1109/ICMA.2005.1626718
Filename :
1626718
Link To Document :
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