Description: Adaptive kernel density estimation motion detection method, an adaptive kernel density (kernel density estimation, KDE) estimated that the motion detection algorithm, the algorithm first raised the prospect of an adaptive dual-threshold of the background threshold selection method for the classification of the pixels prime The method can overcome the dual-threshold with the shortcomings of a single threshold classification, the choice of threshold can be adaptive, and can adapt to different scenarios. On this basis, this paper presents a probability-based background update model, according to the probability of the pixel to update the background, and frame difference and background mode
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