Video Object Segmentation Based on MAP of Pixel Blocks
基于像素块最大后验概率的视频对象分割方法

A video object segmentation method based on MAP (maximum a posteriori) of pixel blocks is proposed. Firstly, a reference frame is built from three continuous frames and a pixel block-based difference image is calculated. Secondly, a pixel block-based difference image is described by Gibbs random field model, the moving object blocks are detected by MAP. Last, the contour of the moving object is extracted by the snake method. The experiments results show that the algorithm can avoid the losing and mistakes with a good speed.