Mean shift can make rapidly optimal matching during target tracking. But Mean shift algorithm doesnt use the targets motion direction and speed information. When targets moving speed is so fast that its easily fails to track the target accurately. We proposed a new target tracking algorithm combining motion vector analysis with Mean shift algorithm. By statistical analysis of the motion vector

we adjust the central point of the motion candidate region of Mean shift

which makes the starting position for search more close to the centre of the actual objective. New method not only improves the accuracy of fast moving tracking

but also reduces the iterative times during the center searching.