Real-time stereo object tracking system by using block matching algorithm and optical binary phase extraction joint transform correlator

摘要

In this paper, we proposed a new adaptive stereo object tracking system that can control the convergence angle and pan/tilt of cameras by using optical binary phase extraction joint transform correlator and can extract the tracking object from a complex background and foreground noises by using the block-based mean square error algorithm. From the experimental results, the proposed stereo tracking system is found to track the object adaptively under the complex circumstances and changing background noises and the possibility of real-time implementation of the proposed system by using the optical system is also suggested.