The kernel correlation filter(KCF) target tracking algorithm can not be effectively applied when the scale of the target changes or the target is occluded for a long time. Therefore, this paper proposes an improved KCF tracking algorithm based on anti-occlusion with fused window filtering and scale transformation. Firstly, the tracking target scale transformation is used to estimate the scale of target fastly. Then, when the target is occluded, the update of the classifier model is stopped, then the weighted window filter is used to predict the target position for the target tracking area. Finally, the algorithm is transplanted to DJI Guidance vision platform, and the experimental results show it can effectively solve the problem of target scale transformation and target occlusion.