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Erschienen in:
2013 | OriginalPaper | Buchkapitel
An Effective Tracking System for Multiple Object Tracking in Occlusion Scenes
verfasst von : Weizhi Nie, Anan Liu, Yuting Su, Zan Gao
Erschienen in: Advances in Multimedia Modeling
Verlag: Springer Berlin Heidelberg
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In this paper, we propose an effective multi-object tracking system which can handle the partial occlusion in the tracking process. First, this method employs the part-based model to localize the person and body parts in every frame. Then it leverages the motion characteristics of both parts and the entire body to generate the trajectories of individuals. To overcome the difficulty in partial occlusion, we propose to formulate the task of multi-object tracking into multi-object matching with body part cues. The large scale comparison experiment on the popular tracking datasets demonstrates the superiority of the proposed method.