Motion reconstruction algorithm using multi-view information

In order to more realistically realize 3D human skeleton animation from image sequences of video, a motion reconstruction algorithm using multi-view information is presented. The method makes full use of the markers´ information, which is the key technologies including camera calibration, markers extraction, markers tracking and motion reconstruction. In step of tracking markers, a novel multi-view tracking algorithm is proposed. The algorithm is based on two basic steps, one is binocular stereo vision tracking using Kalman Filtering, and another step is multi-view information fusion. The experiment results prove that the proposed method is effective.