The tracking algorithm based on correlation filter has the characteristics of fast tracking speed, online learning and synchronous updating, and it is tested and analyzed. Several classical correlation filter tracking models are introduced in detail, according to testing results of many algorithms in the OTB-2013(object tracking benchmark), overall tracking performance and tracking robustness of various algorithms are compared and analyzed. A series of improvements of correlation filter algorithms in dealing with various tracking difficulties are analyzed laterally, and some views on the development of the future are given. The results show that this analysis can provide reference for related research.