3-D human motion sensing by artificial retina chips

The authors aim at capturing 3D human motion from stereo images in real time without any attached markers. Their strategy comprises two tasks: identification of body parts and motion assignment to them. They used a pair of artificial retina chips for implementing stereo vision. They introduced three algorithms. The first algorithm is 3D motion extraction based on optical flow analysis, and they showed its performance with 3D CG. The second algorithm is to localize an image region including a human head by frame subtraction. The final algorithm is to extract the head rotation in depth. They successfully discriminated four kinds of head rotations. To demonstrate the performance, they built a demo system and realized that each rotation could be reflected on a head CG model.