Fusion of luma and chroma GMMs for HMM-Based object detection

Authors:
Wen-Hao Wang;Ruei-Cheng Wu
Affiliations:
Industrial Technology Research Institute, Taiwan;Industrial Technology Research Institute, Taiwan
Venue:
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Year:
2006

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Abstract

A spatial-temporal method is proposed for video object detection. The first stage is temporal segmentation which is comprised of GMM on luma and GMM on chroma. An efficient fusion method is proposed to combine the two GMM segmentation results such that the object mask can be improved to some extent. In the second stage, the mask produced in the first stage is statistically analyzed in spatial domain. HMM is employed to refine the segmentation result by estimating the foreground-background state such that the false detection in foreground and background area can be decreased and lead to robust and satisfactory detection results.