Hand Gesture Recognition Using Color-Depth Association for Smart Home

This study we propose a robust hand gesture segmentation method which associates the depth and color information with online training. Different existing methods, when the hands close to the body part or in cluttered background, our system remains valid. In the proposed method, a judging procedure of the hand point is applied to obtain more accurate result. As Kinect sensor has relatively large errors in acquisition of depth data at the edge of the object, this will lead to the wrong results with the depth threshold in coarse segmentation step. To compare with the existing systems, the proposed method is the least restrictive one in practically.