Dual hand extraction using skin color and stereo information

Extracting the positions of hands is an important step in human computer interaction and robot vision applications. Posture and gesture can be extracted from hand positions and the appropriate task can be performed. In this paper, we propose an approach to extract hand images using skin color and stereo information. Our method does not require clear hand-size or high-quality disparity. With a sound training database and an adequate working environment, we obtain nearly 100 percent accuracy. The run time, ignoring calculation of disparity generation time, is also acceptable.