At present, the interference in the moving target tracking task is very deceptive, and the target tracking algorithm is easily deceived by the data set with traps. In order to improve the tracking algorithm's effect on tracking dataset, this study proposes an improved DPP-SiamFC tracking algorithm based on SiamFC twinning network. This algorithm introduces DPP (Detail-Perserving Pooling) pooling layer and residual network based on the original network, effectively retaining the details of the target. This study also verifies network performance on the VOT2017 tracking dataset, the experimental results have achieved the goal of improving network performance.