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Proceedings Paper

A target detection algorithm based on neighborhood structure measurement in video surveillance
Author(s): Tiancheng He; Jihong Pei; Qianzhen He
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Paper Abstract

Video surveillance is to monitor the moving targets for detection, tracking and behavior analysis, but one of its problems is the accuracy of detection. In this paper, an effective algorithm for moving targets detection and background separation in video surveillance was proposed. We used the vector field based on neighborhood structure measurement to detect the moving target and eliminate the impact of moving target detection caused by shadow. Meanwhile we compared the traditional methods with our algorithm to illustrate the efficiency in detecting the whole moving targets in video.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954D (30 October 2009); doi: 10.1117/12.833133
Show Author Affiliations
Tiancheng He, Shenzhen Univ. (China)
Jihong Pei, Shenzhen Univ. (China)
Qianzhen He, Shenzhen Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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