NDLI: Cooperative multi-target surveillance using a mutational analysis approach

Content Provider	IEEE Xplore Digital Library
Author	Goradia, A. Ning Xi Prokos, M. Zhiwei Cen Mutka, M.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI (Goradia, A.; Ning Xi)
Abstract	Networked surveillance systems provide an extended perception and distributed sensing capability in monitored environments through the use of multiple networked sensors. The task of tracking multiple targets in a surveillance network is a challenging problem because of the following reasons: (1) multiple targets need to be monitored and tracked continuously so that they would not leave the view of at least one of the sensors; (2) the view of the sensors needs to be optimized so that at a given time the targets are observed with a discernable resolution for feature identification; (3) it is important to devise stable control algorithms for accomplishing the surveillance task. Current feature (point) based visual surveillance and tracking techniques generally employed do not provide an adequate framework to express a surveillance task. This paper presents a mutational analysis approach for shape based control to model a multi-target surveillance scenario. It further presents an optimal multiple sensor task planning algorithm based on the target resolution and priority, to achieve optimal coverage of multiple targets in the sensing region of the surveillance network. Finally, experimental results demonstrate the efficacy of the proposed approach for tracking multiple targets over a large area
Starting Page	940
Ending Page	945
File Size	513752
Page Count	6
File Format	PDF
ISBN	0780390474
DOI	10.1109/AIM.2005.1511130
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Surveillance Target tracking Shape control Sensor arrays Acoustic sensors Wireless sensor networks Cameras Computer science Computerized monitoring Sensor systems
Content Type	Text
Resource Type	Article

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