A motion generator approach to translating human motion from video to animation

摘要

This paper proposes a motion generator approach to translating human motion from video image sequences to computer animations in real time. In this approach, a motion generator makes inferences about the current human motion and/or posture from the data obtained by processing the source video images, and then generates a set of joint angles for the target human body model. Compared with conventional motion capture methods, our approach is more robust, and tolerant of broader environmental and postural conditions.