Computer Science ›› 2005, Vol. 32 ›› Issue (12): 216-219.

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  • Online:2018-11-17 Published:2018-11-17

Abstract: Now the working of video surveillance must depend on the man's real time observation of video. This paper designs and implements an adaptive moving object extracting system for surveillance, which explores mixer Gaussian probability process to model the v

Key words: Moving object extraction, Foreground segmentation, Mixer Gaussian models, Video surveillance

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