Review of tracking algorithms under occlusions

The occlusions occurred in the target tracking is one of the difficulties in image processing,which has become a crucial factor of the robustness of tracking algorithm to deal with the occlasions effectively in tracking,especally severe occlusion and total occlusion. This paper summarizes and classifies the main tracking algorithms under occlusions commonly used at home and abroad,and introduces several kinds of popular tracking algorithms under occlusions based on central weights,part matching,track prediction,and Bayesian theory,respectively. Especially,it describes a fusion algorithm combined different advantages of some algorithms. It also gives the basic ideas of these algorithms and their processing abilities,and analyzes the advantages and disadvantages of these algorithms. Finally,it focus on the problems and points out that the multi-sensor fusion technology will be conductive to the improvement of the tracking algorithms under occlusions.