Depth-Aided Tracking Multiple Objects under Occlusion

Abstract

In this paper, we have presented a novel tracking method aiming at detecting objects and maintaining their la-bel/iden-tification over the time. The key factors of this method are to use depth information and different strategies to track ob-jects under various occlusion scenarios. The foreground objects are detected and refined by background subtraction and shadow cancellation. The occlusion detection is based on information of foreground blobs in successive frames. The occlusion regions are projected to the projection plane XZ to analysis occlusion situation. According to the occlusion analysis results, different objects' corresponding strategies are introduced to track objects under various occlusion sce-narios including tracking occluded objects in similar depth layer and in different depth layers. The experimental results show that our proposed method can track the moving objects under the most typical and challenging occlusion scenar-ios.