Human target detection and tracking under parallel binocular cameras

This paper proposes a human body targets tracking algorithm based on depth information under parallel binocular cameras. The key issue of pedestrian targets tracking in the parallel binocular cameras system is how to achieve the correspondence between the cameras. We get intrinsic and extrinsic parameters by camera calibration. Then, the foreground target region is got by Gaussian background difference based on current and background images, which is used to obtain the parallax images of human body target by using region matching. Finally, the locations and depth information of human bodies are obtained by the projection of the parallax information, which are used to track human targets by Kalman filter. The experiment results shows that the proposed algorithm has high accuracy and is feasible in the real world.