Aiming at the TLD target tracking algorithm is affected by the problems of occlusion, rotation and motion blur in the actual tracking process, an improved TLD algorithm is proposed, and an improved FAST corner point algorithm is introduced in the tracking module, as well as a positive sample library under the data enhancement method of randomly cut blocks in the detection module. A rotation invariant LBP algorithm is introduced to design a classifier with rotation invariance. The improvement of the tracking module not only ensures the accuracy of the algorithm, but also improves the realtime performance of the algorithm. The improvement of the detection module allows the TLD algorithm to track well even when the moving target is partially obscured or has changed its shape. Experimental verification of the data set OTB2013 reveals that the algorithm in this paper not only has high tracking accuracy and fast running speed compared with other five algorithms, but also can effectively improve the tracking effect when the moving target is obscured.