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 kenya tree coral for sale 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 to the foreground extracted from MoG icon airflite goggles for very crowded situations.What is more, a new shadow removal method based on RGB color space is proposed.