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Abnormal behavior detection for early warning of terrorist attack
journal contribution
posted on 2006-01-01, 00:00 authored by X Geng, Gang LiGang Li, Y Ye, Yiqing Tu, Honghua DaiMany 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.
History
Journal
Lecture notes in computer scienceVolume
4304Pagination
1002 - 1009Publisher
Springer-VerlagLocation
Berlin, GermanyPublisher DOI
ISSN
0302-9743eISSN
1611-3349Language
engNotes
The original publication can be found at www.springerlink.comPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2006, Springer-Verlag Berlin HeidelbergUsage metrics
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