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Abnormal behavior detection for early warning of terrorist attack

Geng, Xin, Li, Gang, Ye, Yangdong, Tu, Yiqing and Dai, Honghua 2006, Abnormal behavior detection for early warning of terrorist attack, Lecture notes in computer science, vol. 4304, pp. 1002-1009.

Document type: Journal Article
Collections: School of Engineering and Information Technology
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Title Abnormal behavior detection for early warning of terrorist attack
Author(s) Geng, Xin
Li, Gang
Ye, Yangdong
Tu, Yiqing
Dai, Honghua
Journal name Lecture notes in computer science
Volume number 4304
Start page 1002
End page 1009
Publisher Springer-Verlag
Place of publication Berlin, Germany
Publication date 2006
ISSN 0302-9743
1611-3349
Summary Many terrorist attacks are accomplished by bringing explosive devices hidden in ordinary-looking objects to public places. In such case, it is almost impossible to distinguish a terrorist from ordinary people just from the isolated appearance. However, valuable clues might be discovered through analyzing a series of actions of the same person. Abnormal behaviors of object fetching, deposit, or exchange in public places might indicate potential attacks. Based on the widely equipped CCTV surveillance systems at the entrance of many public places, this paper proposes an algorithm to detect such abnormal behaviors for early warning of terrorist attack.
Notes The original publication can be found at www.springerlink.com
Language eng
Field of Research 080299 Computation Theory and Mathematics not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2006, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30003890
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