An Improved Gesture Tracking Algorithm Based On Depth Image Information

An improved Depth Image CamShift (DI_CamShift) algorithm is proposed to realize the accurate tracking of gestures in the sign language video. First, it used Kinect to obtain the depth image information of sign language gestures. Then it adjusted the search window by calculated spindle direction angle and mass center position of the depth images. Finally, the calculation of minimum depth information value in the search window was used to determine the target gesture area. Experiments results show that the algorithm has good robustness and can effectively track the sign language gestures.