Moving Object Detection Based on Edged Mixture Gaussian Models


Learning background statistics is an essential task for several visual surveillance applications such as incident detection and traffic management. An adaptive foreground object extraction algorithm for real-time video surveillance is presented in this paper. The proposed algorithm improves the classic Gaussian mixture background models (GMM) to remove the… (More)


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