The moving objects in the continuous picture sequence and their local background remain relatively stable.The local pixel distribution of the target between adjacent frames is similar.Aiming at the problem of clutter interference and motion blur in infrared small target tracking,a target enhancement method based on local similarity is designed,a tracking algorithm based on local similarity and motion estimation is proposed.The improved algorithm constructs the search space according to the local similarity of the target,uses the motion estimation mechanism to narrow the search area,and then uses the spatio-temporal context learning tracking algorithm to generate the tracking results.Experiments show that the method in this paper can effectively deal with clutter interference and motion blur,achieve robust tracking of small infrared targets,and has good real-time performance.