Moving object detection and tracking in video surveillance system

Shanshan Li; Yuehuan Wang; Wenhui Xie; Zhiguo Cao

doi:10.1117/12.834068

30 October 2009 Moving object detection and tracking in video surveillance system

Shanshan Li, Yuehuan Wang, Wenhui Xie, Zhiguo Cao

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74952D (2009) https://doi.org/10.1117/12.834068
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Shanshan Li, Yuehuan Wang, Wenhui Xie, and Zhiguo Cao "Moving object detection and tracking in video surveillance system", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952D (30 October 2009); https://doi.org/10.1117/12.834068

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