A recursive kernel density learning framework for robust foreground object segmentation

APPLIED MATHEMATICS & INFORMATION SCIENCES, pp. 363-369, 2012.

Cited by: 2|Bibtex|Views17
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Abstract:

Dynamic video segmentation is an important research topic in computer vision. In this paper, we present a novel recursive Kernel Density Learning framework based video segmentation method. In the algorithm, local maximum in the density functions is approximated recursively via a mean shift method firstly. Via a proposed thresholding schem...More

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