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Proceedings Paper

A local hierarchical approach for background modeling and moving targets detection
Author(s): Wei Wang; Wei Gao; Runsheng Wang
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Paper Abstract

In the process of the video sequence analysis, the approach of the background modeling and moving target detection is an important problem. To get the precise contour of the targets, the Gaussian Mixture Model (GMM) is one of the models which used frequently when the background is stable. But the effect is not so ideal if we use the GMM only. A top-to-bottom Local Hierarchical GMM (LHGMM) is proposed in this paper. Firstly, the particle filter algorithm is used to track the targets, and the rough external contour can be gotten. In the area we use the block-based GMM and the pixelbased GMM to update the background and detect the moving targets. Then the detection results are fed back to the tracking frame to revise the updating area. The experiment results show that the algorithm proposed in this paper can adapt to the moving changes of the targets, and the targets can be tracked accurately.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749543 (30 October 2009); doi: 10.1117/12.831318
Show Author Affiliations
Wei Wang, Naval Aeronautical Engineering Institute (China)
National Univ. of Defense Technology (China)
Wei Gao, Naval Aeronautical Engineering Institute (China)
Runsheng Wang, National Univ. of Defense 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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