A novel mean shift algorithm simulator of video images

A novel mean shift algorithm of video images is proposed to track moving target in dynamic scene. The global compensation method is used to eliminate the background diversity caused by the motion of camera. Then the target is detected by difference algorithm and segmented by MRF method, so we can get the target template automatically. Finally mean shift is used to track moving target. This method solves the problem of orthodox mean shift tracking method which should select target region artificially. The experiments of the Coastguard standard video images and the practical with dynamic scene demonstrate that the proposed algorithm is effective to track moving target and it is precise and adaptive.