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Optical Engineering

Foreground segmentation based on tracking
Author(s): Xiang Zhang; Jie Yang; Zhi Liu
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Paper Abstract

Results obtained by current foreground segmentation algorithms are often corrupted with splits and defects, making them undesirable for high level applications. We present a new segmentation algorithm that takes advantage of tracking information for segmentation. First, the moving object is tracked with a mean-shift tracker. Second, the tracking information is used to construct a tracking-based appearance model, which is then used for segmentation. Finally, a mixture model is used to cope with the tracking error. Experiments show that the proposed method provides improved results in changing settings.

Paper Details

Date Published: 1 October 2009
PDF: 5 pages
Opt. Eng. 48(10) 107203 doi: 10.1117/1.3250188
Published in: Optical Engineering Volume 48, Issue 10
Show Author Affiliations
Xiang Zhang, Shanghai Jiao Tong Univ. (China)
Jie Yang, Shanghai Jiao Tong Univ. (China)
Zhi Liu, Shanghai Jiao Tong Univ. (China)

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