For the rapid changes of target scale and posture caused by aircrafts attitude adjustment and high-speed movement in the infrared imaging terminal guidance stage,speeded-up robust features(SURF) based infrared imaging target tracking algorithm is proposed.In order to precisely track target in the terminal guidance stage,the point tracking strategy is suggested.Firstly,according to the tracking point position in the previous frame,the image sub-block centered on the same location in the current frame is selected;the matching point set between the image sub-block and model is attained by the SURF matching,and the random sample consensus(RANSAC) is employed to eliminate false matching points;the corresponding homography matrix is exactly estimated through the least squares algorithm(LSA).Then,the exact location of tracking point in the current frame is attained through the homography matrix mapping.In order to validate the efficiency of the algorithm,the simulation analysis is carried out,and the simulation results show that the proposed algorithm can obtain high tracking accuracy and meet real-time demand.