An active vision system for multitarget surveillance in dynamic environments

被引:36
作者
Bakhtari, Ardevan [1 ]
Benhabib, Beno
机构
[1] Promat Engn Ltd, Mississauga, ON L4W 2W5, Canada
[2] Univ Toronto, Comp Integrated Mfg Lab, Dept Mech & Ind Engn, Toronto, ON M5S 3G8, Canada
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2007年 / 37卷 / 01期
基金
加拿大自然科学与工程研究理事会;
关键词
active vision; dispatching; facial recognition; sensor fusion; surveillance;
D O I
10.1109/TSMCB.2006.883423
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a novel agent-based method for the dynamic coordinated selection and positioning of active-vision cameras for the simultaneous surveillance of multiple objects-of-interest as they travel through a cluttered environment with a priori unknown trajectories. The proposed system dynamically adjusts not only the orientation but also the position of the cameras in order to maximize the system's performance by avoiding occlusions and acquiring images with preferred viewing angles. Sensor selection and positioning are accomplished through an agent-based approach. The proposed sensing-system reconfiguration strategy has been verified via simulations and implemented on an experimental prototype setup for automated facial recognition. Both simulations and experimental analyses have shown that the use of dynamic sensors along with an effective online dispatching strategy may tangibly improve the surveillance performance of a sensing system.
引用
收藏
页码:190 / 198
页数:9
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