統計的な動きモデルを用いた人物の姿勢推定

抄録

Many methods of human motion measuring have been proposed and applied to various field, such as CG animation, gesture recognition, and so on. This paper proposes a method for posture estimation of human hand gesture.
First, we extract human face and hand regions depended on their color and positions on stereo images taken by cameras, and estimate 3D positions on the world coordinate system by stereo matching. Then, we calculate occurence probabilities of motion model, and decide initial parameters related to human posture. Finally, we estimate the optimal posture by model matching, and predict the posture in the next frame.