An Improved Mixture-of-Gaussians Background Model with Frame Difference and Blob Tracking in Video Stream

An Improved Mixture-of-Gaussians Background Model with Frame Difference and Blob Tracking in Video Stream

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Modeling background and segmenting moving objects are significant techniques for computer vision applications.Mixture-of-Gaussians (MoG) background model is commonly used medline remedy phytoplex protectant z-guard paste in foreground extraction in video steam.However considering the case that the objects enter the scenery and stay for a while, the foreground extraction would fail as the objects stay still and gradually merge into the background.

In this paper, we adopt a blob tracking method to cope with this situation.To construct the MoG model more quickly, we add frame difference method jinsoon+coupons to the foreground extracted from MoG for very crowded situations.What is more, a new shadow removal method based on RGB color space is proposed.