Gaussian mixture model, goal difference Adaptive b
2016-08-23
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In Gaussian mixture background model based on segmented by Gaussian mixture before and after the match the two frames of moving object for differential, difference based on mixture Gaussian again after match resolution out of the target area in the past, and the current target area. In the background updating process, increase the renewal rate of the target area in the past, so moving objects in a halt State for background models of rapid recovery in the interference region. Test results showed that the methods improve the robustness of the model.
Interference from standstill to the background when the model region quickly recovered. Test results showed that the methods improve the robustness of the model.
Interference from standstill to the background when the model region quickly recovered. Test results showed that the methods improve the robustness of the model.
matlab
模型
目标
混合
差分
适应
高斯
背景
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