Convergence control of moving object using motion factor and optical correlation method in the stereo vision system

In this paper, a new target extraction algorithm is proposed, in which the coordinates of target are obtained adaptively by using the difference image information and the optical BPEJTC with which the target object can be segmented from the input image and background noises are removed in the stereo vision system. The proposed algorithm, firstly, extracted the target object removing the background noises through the difference image information of the sequential left images and then, control the pan/tilt and convergence angle of the stereo camera by using the coordinates of the target position obtained from the optical BPEJTC between the extracted target image and the input image. From some experimental results, it is found that the proposed algorithm can extract the target object from the input image having the background noises and then, effectively track the target object in real-time. Finally, a possibility of implementation of the adaptive stereo object tracking system by using the proposed algorithm is also suggested.