Motion Capture Based on Body Features

In this paper, a technique based on body features is employed to develop a system for sports training, healthcare and medical diagnosis through reusing huge amount of video resources, and extracting useful information from them. This technique realizes the motion capture by using existing video of human motion. The predefined human model is matched and identified with a sequence of videos. The interested feature points are tracked and calculated using relevant features of the human body. During the tracking, the human model is used for the conditional constraint and corrections. The approach is easy and quick. The efficiency of capture, stability and accuracy of the tracking are improved greatly with a low requirement for hardware specification. The 2D motion data can be generated easily and conveniently for 3D motion reconstruction in this system.