Algorithm of moving human skeleton extraction in complex environment
复杂环境下的运动人体骨架提取算法

To detect the moving human body and extract skeleton in a complex environment, this paper proposed a novel algorithm of moving human body skeleton extraction. It obtained the background image by constructing region background model in complex environment, and segmented the moving human body by using the maximum color difference and the adaptive threshold, then comstructed the model of human skeleton, and traced the human body joints by using Kalman filtering, through a connection of joints, generated the skeleton of moving human body. Experimental results show that the algorithm can extract the skeleton of moving human body accurately from video sequence with low error rate of joint position in complex environment.