Abstract: Human pose estimation is one of the hot topic in the field of computer vision,and can be used for pedestrian detection,human activity analysis,human-computer interaction and video surveillance．Aiming at the problem that the human body appearance model of human parts is vulnerable to background interference in the body pose estimation algorithm of the tree pictorial structure model, we put forward body pose estimation algorithm of appearance model which is based on priori segmentation and the appearance transfer mechanism in order to improve the human body appearance model．According to PS model,using the human body detector and foreground highlighting by preprocessing,it can find an approximate position and size of the human body,meanwhile remove the background clutter.We can estimate the appearance model of the human body parts based on a priori segmentation and appearance transformation mechanism．Experiments show that using the algorithm of the human body detector and foreground highlighting can not only reduce the search space of the components,but also improve the accuracy of the body pose estimation.

Key words: Image processing,Human pose estimation,Appearance model,Pictorial Structure,Priori segmentation