A Real-Time Vision-Based Human Motion Capturing

摘要

In this paper, we introduce a real time vision-based human motion capturing system using two CCD cameras. For realtime processing consideration, we propose some simple but effective methods to estimate the motion parameters (BAPs) of the human object. Our method analyzes the vertical projection profile and the horizontal projection profile in each view to identify different arm and leg postures. With the identified postures, we can apply the Kalman filter to track the motion parameters (joint angels). Our motion analysis method is divided into macro motion analysis and micro motion analysis. The former identifies certain well-defined postures and the latter traces the variation of joint angle or BAPs.