Research On Human Motion Capture Based On Video

The research on human motion analysis based on video is one of the most active research areas in computer vision, pattern recognition and virtual reality. Besides its important value on research, human motion analysis has attracted great interests from computer vision researchers due to its promising applications in many areas such as visual surveillance, perceptual user interface, content-based image storage and retrieval, video conferencing, athletic performance analysis, virtual reality, etc. The main aim of visual analysis of human motion is to detect, track and identify people, and more generally, to interpret human behaviors, from image sequences involving humans.In this paper, the human motion reconstruction based on motion video is presented, that is, recovering the 3D human motion data from motion video such as trampoline sports.The main contributions are as follows:1, A novel technology of human motion reconstruction based on motion videoIt is difficult to infer 3D motion from motion video. Most research in this field only can deal with the motion video captured in the special situation and the simple style such as walk, running. In this paper, the methods of inferring 3D motion from the arbitrary motion video are proposed. In my strategy, some area knowledge is incorporated. e.g. the motion database is made full use of for gaining database of 3D motion captured on video, and, the trampoline sport is taken as the motion type to demonstrate the motion reconstruction technology. From the experiment, it can be seen that the technology can process the arbitrary motion video. Moreover, the accuracy of the reconstructed results and the computing stability is improved greatly. The computing complexity can reach sublinear and the accuracy of reconstructed results can reach 94.5%.On conclusion, my strategy of inferring 3D motion from motion video is universal. It can be used to process unlimited motion video. At the same time, since the strategy is based on the area knowledge, given a 3D motion database based on the area, it can reconstruct arbitrary motion style.2, 3D pose reconstruction based on shape matching technology3D pose reconstruction from video image is the former phase of 3D motion reconstruction. In this paper, a new pose reconstruction technology using computer vision invariance is proposed and the Hu moments invariable and AMIs (Affine moments invariable)...