Aiming at the instability problem of target tracking caused by scale change and severe apparent change in target tracking, in this paper a multichannel feature fused scale estimation strategy is designed, and a multichannel scale adaptive target tracking algorithm based on double correlation filter is proposed. Considering that the features of CN are insensitive to attitude and scale, and the features of HOG have good stability to illumination change and target movement, the features of CN, HOG and gray scale are fused to improve the tracking robustness to target apparent change. On the premise of ensuring minimum error risk, the ridge regression is used to solve the filter. The scale filter is established to realize the multiscale judgment of the target, so that when the target scale changes the tracking of the target remains stable. The TB100 data set was used to test the performance of the algorithm in multiple scenarios. The experiment results show that the algorithm has good tracking effect under the conditions of target apparent change, scale transformation and background interference.