The target rotation and scale change lead to the target losing and precision decrease greatly. Therefore, it has become a hot topic to solve the rotation and scale change of the target in the processing of moving. This paper presents a target tracking algorithm with rotation characteristics. Based on the BACF (background-aware correlation filter) proposed by Hamed et al., the proposed algorithm retains the localization in BACF algorithm, and converts the target features under Cartesian coordinates into that under polar coordinates. The Fourier-merlin formula is used to calculate the changes in rotation angle and target scale, and the dataset POT is used to verification and comparison. It is found that, in the improved algorithm, the rectangle box can rotate with the target when the target is rotating. The accuracy and success rate of the algorithm in this paper are greatly improved on the POT dataset, which are 0.6561 and 0.5930, respectively, and the rotation characteristic accuracy and success rate are 0.9619 and 0.8527, respectively.