Abstract: To obtain more natural and realistic interactive mode， the research based on depth image technology is carried on. The situation of depth image application and methods are introduced. The depth image is used to recognize human pose induding based on multiple depth image or single depth image. And for the static human pose tracking， random forest algorithm is used to evaluate the human position in the single depth image for improving the run rate and the robust character. Then the recognition of body position and the skeleton joint are realized. At last， an instance is provided to illustrate the effectiveness and accuracy of the method.

Key words: depth image, human pose recognition, random forest, Mean Shift method