Infrared Small Target Tracking Approach Using Mean-shift

摘要

When the infrared small target has obvious mobile process and appearance changes, classic mean shift algorithm can not trace the object effectively, an algorithm that combines mean shift and kalman is proposed in this paper. Experimental results demonstrate that the improved algorithm can track the object successfully and have better robust for mobile process and appearance changes through predicting the site and size of the moving target in the next frame.