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Proceedings Paper

Moving object detection and tracking in video surveillance system
Author(s): Shanshan Li; Yuehuan Wang; Wenhui Xie; Zhiguo Cao
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Paper Abstract

This paper presents solutions to some problems in real-time video surveillance system such as robust object detection in illumination mutation situation and merge/split event in multi-target tracking. We propose a new moving object detection approach. Our approach can handle the problems result from illumination sudden changes in real scene by combining Gaussian Mixture Model algorithm with temporal frame difference. For multi-target tracking, we use Mean Shift algorithm and introduce a "record" strategy to handle targets merge and split. Experimental results demonstrate the effectiveness of our proposed approach.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952D (30 October 2009); doi: 10.1117/12.834068
Show Author Affiliations
Shanshan Li, Huazhong Univ. of Science and Technology (China)
Yuehuan Wang, Huazhong Univ. of Science and Technology (China)
Wenhui Xie, Huazhong Univ. of Science and Technology (China)
Zhiguo Cao, Huazhong Univ. of Science and Technology (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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