A modify target tracking algorithm based on anti-jamming CamShift in dynamic scene

According to the characteristics of targeted block and near-color background interference in dynamic scene, this paper describes an improved model of CamShift (Continuous Adaptative Mean-Shift) for object detection and tracking. This improve Cam-Shift technique is predominantly based on weakening the color histogram information about target and the Bhattacharyya coefficient of the reference target color histogram to achieve anti-jamming target tracking. The experimental results revealed that the proposed algorithm is able to track efficiently and has a strong anti-jamming capability.