1 October 2009 Foreground segmentation based on tracking
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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.
© (2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Xiang Zhang, Jie Yang, Zhi Liu, "Foreground segmentation based on tracking," Optical Engineering 48(10), 107203 (1 October 2009). https://doi.org/10.1117/1.3250188 . Submission:

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