Aiming at the problem that the tracking accuracy decreases due to the change of target scale in the process of target visual tracking, a kernel correlation filtering tracking method based on GM (1, 1) scale estimation is proposed. The GM (1, 1) grey prediction model is introduced to predict the target scale based on the kernel correlation filtering tracking algorithm, and the scale estimation process is designed to estimate the current target scale, which effectively solves the problem of tracking performance declining caused by obvious scale changes. Finally, the OTB-100 video sequence dataset is used to test the performance of the algorithm. The test results show that the algorithm still has good tracking performance when the target scale changes significantly. It can realize stable and accurate target tracking, and effectively improve the tracking performance of the kernel correlation filter tracking algorithm.