In the research of maneuvering target tracking based on image processing technology

propose a new method combining a modified block matching algorithm and anti-outlier Kalman filtering（AKF） to achieve better tracking result of the target under continued occlusion. Dynamically adjust the size and position of sub-blocks according to the matching reliability of the target and template in each image sequence to achieve measurement precision of motion vectors of target. AKF filtering model is established for filtering of target position parameters.Judge and modify the Kalman innovation value online according to Wright criterion when target is occluded

so as to achieve optimal estimation of the target position. The experimental result shows that the tracking result of new method is more accurate and it has better anti occlusion tracking ability when the target is occluded

and the speed of the algorithm reaches 110 FPS

which meets the real-time requirements.