To prevent over-deformation and to solve occlusion problems that are difficult to solve for correlated filtering tracking algorithms in the tracking field, an improved multiscale target tracking algorithm based on PSR and objective similarity was proposed in this paper. The proposed method combined a traditional correlation operation, peak side lobe ratio, with a perceptual hashing algorithm to tackle problems such as target occlusion, over deformation, and other complex scene judgments. Experimental results using the OTB-2015 demonstrate proposed algorithm's reliability and integrity of the target trajectory. The accuracy and robustness of our algorithm is better than that of Kernelized Correlation Filter (KCF) tracking algorithms. This paper presents a novel idea for occlusion detection in the target tracking field.