Objects Subtraction Adaptive Background Modeling Based on Mixture Gaussian Model
Jianbin Tan · Modern Computer · 2010
Proposes an adaptive background update rate method.Based on Mixture Gaussian background model,through Gaussian match,makes the moving objects separated from the before and after frame and objects subtraction,uses Gaussian match once again to distinguish between the target area in the past and the current target area.When updates the background,increases the refresh rate over the target area,so that the interference area caused by the objects at a standstill situation can be rapidly restored.The experimental result indicates that the method is effective to improve the robustness of background model.