Occlusion is an issue in the tracking field

and the handling of occlusion is a key measure for robust tracking algorithms. In this article

we propose a new algorithm of handling occlusion fragments-based tracking. When the target is partially occluded or the pose changes

the strength of the remaining effective patch of information remains credible. Our algorithm uses the Bhattacharyya coefficient of similarity measure as a candidate target piece with the corresponding template piece to track a target effectively. Using H back projection method to distinguish between occlusion and pose change. According to the different types of occlusion

it makes the appropriate handle to realize robust tracking of the target. The present experiment proposed the concept of relevance occlusion and non-relevance occlusion

increasing the reliability of algorithm for tracking. Through fragments-based tracking

and taking into account the correlation between the target and obstructions

it will make improved about the tracking efficiency significantly.