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Multi-target Tracking via Max-Entropy Target Selection and Heterogeneous Camera Fusion

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Advances in Multimedia Information Processing -- PCM 2015 (PCM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9314))

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Abstract

Nowadays, dual-camera systems, which consist of a static camera and a pan-tilt-zoom (PTZ) camera, have become popular in video surveillance, since they can offer wide area coverage and highly detailed images of the interesting starget simultaneously. Different from most previous multi-target tracking methods without information fusion, we propose a multi-target tracking framework based on information fusion of the heterogeneous cameras. Specifically, a conservative online multi-target tracking method is introduced to generate reliable tracklets in both cameras in real time. A max-entropy target selection strategy is proposed to determine which target should be observed by the PTZ camera at a higher resolution to reduce the ambiguity of multi-target tracking. Finally, the information from the static camera and the PTZ camera is fused into a tracking-by-detection framework for more robust multi-target tracking. The proposed method is tested in an outdoor scene, and the experimental results show that our method significantly improves the multi-target tracking performance.

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Acknowledgement

This work is supported by National Natural Science Foundation of China (No. 61371192).

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Authors and Affiliations

  1. CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Hefei, China

    Jingjing Wang & Nenghai Yu

Authors
  1. Jingjing Wang
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  2. Nenghai Yu
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Corresponding author

Correspondence to Jingjing Wang .

Editor information

Editors and Affiliations

  1. Gwangju Institute of Science and Technology, Gwangju, Korea (Republic of)

    Yo-Sung Ho

  2. Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Jitao Sang

  3. ICU, IVY Lab, KAIST, Daejeon, Korea (Republic of)

    Yong Man Ro

  4. KAIST, Daejeon, Korea (Republic of)

    Junmo Kim

  5. College of Computer Science, Zhejiang University, Hangzhou, China

    Fei Wu

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Wang, J., Yu, N. (2015). Multi-target Tracking via Max-Entropy Target Selection and Heterogeneous Camera Fusion. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9314. Springer, Cham. https://doi.org/10.1007/978-3-319-24075-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-24075-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24074-9

  • Online ISBN: 978-3-319-24075-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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