Single Video Based Human Motion Capture

Because of the high cost, strict condition request, and low precision of present human motion capture methods, the method based on computer vision principle becomes a hot point of this field. The human motion capture method based on single video provides a new approach to resolve the capture problem, and it adapts to the exploitations and applications in personal computer software.We present a Single Video Based Human Motion Capture method that is studied in a single video and based on some ameliorated or presented algorithms about computer graphics in this dissertation. This method obtains and describes the human motion thinning edge from image-sequence, then tracks and identifies the edge to capture the human prismatic model and creates the motion video.In this dissertation, we ameliorate and present algorithms based on computer graphic theoretic to gain human motion model. Firstly, we gain human aid area by Differential Image Segmentation, eliminate bore noise by a Bore-Area Extracting and Filling Algorithm, and eliminate edge noise by mathematical morphology. Secondly, we detect the chromatic human motion edge by a method based on grads, and thin the edge by mathematical morphology. Thirdly, we dispose curves of edge by the characters of them, and manage the curves of linear fitting. Lastly, we present a quadrangular fitting method to gain the human profile model , and on the base of that we gain human motion prismatic model.The results of our experimentation show that, we have resolved the siglevideo-based human motion capture problem in some specifically conditions. The improved method could be used in many areas.