In order to solve the problem of occlusion or loss of targets caused by drastic change in gray distribution of image pixels by using traditional target tracking algorithms under high-energy laser reflection in the sky background, a correlation tracking algorithm based on local feature segmentation was adopted. The tracking template was divided into blocks according to local features. The block templates with high feature stability were calculated and selected. Template matching was performed for each block in the tracking area. The theoretical analysis and experimental verification were carried out. The results show that the algorithm can track the target stably in real time under strong light interference. And the image processing delay time is less than 2ms. This research is helpful to ensure the performance of ultra-high precision tracking system based on high-energy laser emission.