To solve the problems of target occlusion and complex environment during target tracking,a new target tracking algorithm based on confidence updating was proposed based on SAMF tracker.Under the framework of correlation filtering and tracking,the confidence index(APCE) was proposed to judge whether the target is blocked or not,and the adaptive template updating was proposed to solve the adaptability of the tracking confidence threshold in video scenes under different environments.The OTB-2013 video sequence data set attribute selection 33 shade and background video sequences experiment.The experimental results showed that compared with the SAMF,algorithm in tracking shade and complex background attribute the success rate is increased by 1.6% and 2.3% respectively under the tracking occlusion and complex background attributes.The algorithm had higher identification accuracy,and track targets stably under the environment of target occlusion and complex background.