A Background Reconstruction Algorithm Based on the Hypothesis of Background Pixel with Maximum Probability
基于背景像素值频次最高假设的背景重构算法

Background reconstruction is the key to moving detection. So a background reconstruction algorithm based on the hypothesis of background pixel with maximum probability is presented in this paper. First, we calculated the difference between sequential frames which are sampled from a section of video sequences, and get the full moving area by area growing, then label the pixels in moving area as moving points and others as background point. We calculate the mean of the intensity value of the background point in these frames and consider the mean of the intensity value as the background pixel intensity. The results of experiments show that this new algorithm can reconstruct the background quickly and successfully.