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An Effective Tracking System for Multiple Object Tracking in Occlusion Scenes

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Book cover Advances in Multimedia Modeling (MMM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7732))

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Abstract

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.

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Author information

Authors and Affiliations

  1. School of Electronic Information Engineering, Tianjin University, Tianjin, China, 300072

    Weizhi Nie, Anan Liu & Yuting Su

  2. Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin, China, 300072

    Zan Gao

Authors
  1. Weizhi Nie
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  2. Anan Liu
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  3. Yuting Su
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  4. Zan Gao
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Editor information

Editors and Affiliations

  1. Microsoft Research Asia, 5 Danling Street, 100080, Beijing, China

    Shipeng Li  & Tao Mei  & 

  2. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, K1N 6N5, Ottawa, ON, Canada

    Abdulmotaleb El Saddik

  3. School of Computer and Information, Hefei University of Technology, Road Tunxi 193#, 230009, Hefei, Anhui, China

    Meng Wang  & Richang Hong  & 

  4. Department of Information Engineering and Computer Science, University of Trento, ommarive 14, 38100, Trento, Italy

    Nicu Sebe

  5. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117583, Singapore, Singapore

    Shuicheng Yan

  6. School of Computing, CLARITY: Centre for Sensor Web Technologies, Dublin City University, Glasnevin, Dublin 9, Ireland

    Cathal Gurrin

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© 2013 Springer-Verlag Berlin Heidelberg

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Nie, W., Liu, A., Su, Y., Gao, Z. (2013). An Effective Tracking System for Multiple Object Tracking in Occlusion Scenes. In: Li, S., et al. Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35725-1_19

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  • DOI: https://doi.org/10.1007/978-3-642-35725-1_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35724-4

  • Online ISBN: 978-3-642-35725-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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