Modeling background and segmenting moving objects are significant techniques for computer vision applications.Mixture-of-Gaussians (MoG) background model is commonly used in foreground extraction igora vibrance 6-12 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 mre93ll/a apple watch cope with this situation.To construct the MoG model more quickly, we add frame difference method 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.