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Gathering Event Detection by Stereo Vision

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Advances in Visual Computing (ISVC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10073))

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Abstract

This paper proposes a method for pedestrian gathering detection in real cluttered scenario by stereo vision. Firstly, foreground is converted into 3D cloud points and extracted by spatial confinement with more insensitivity to illumination change. Instead of detecting stationary people in camera view, they are localized in plan view maps which is more resistant to inter person occlusion and people number is directly estimated in multiple plan view statistical maps based on more physically inspired features by regression. In addition, it exhibits superior extensibility to multiple binocular camera system for wider surveillance coverage and higher detection accuracy through fusion. Finally, we contributed the first abnormal dataset with depth information and experimental results on it validate its effectiveness.

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Author information

Authors and Affiliations

  1. Ricoh Software Research Center (Beijing) Co., Ltd, Beijing, China

    Qian Wang, Wei Jin & Gang Wang

  2. Beijing Institute of New Technology Applications, Beijing, China

    Qian Wang, Wei Jin & Gang Wang

Authors
  1. Qian Wang
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  2. Wei Jin
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  3. Gang Wang
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Corresponding author

Correspondence to Qian Wang .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center, Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, Nevada, USA

    Darko Koracin

  5. The Australian National University, O’Malley, Aust Capital Terr, Australia

    Fatih Porikli

  6. Pilot AI Labs, Redwood City, California, USA

    Sandra Skaff

  7. University of Florida, Gainesville, Florida, USA

    Alireza Entezari

  8. Google Inc., Mountain View, California, USA

    Jianyuan Min

  9. Osaka University, Osaka, Japan

    Daisuke Iwai

  10. The MOVES Institute, Monterey, California, USA

    Amela Sadagic

  11. University of Arizona, Tucson, Arizona, USA

    Carlos Scheidegger

  12. Université Paris-Sud, Orsay, France

    Tobias Isenberg

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© 2016 Springer International Publishing AG

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Wang, Q., Jin, W., Wang, G. (2016). Gathering Event Detection by Stereo Vision. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10073. Springer, Cham. https://doi.org/10.1007/978-3-319-50832-0_42

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  • DOI: https://doi.org/10.1007/978-3-319-50832-0_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50831-3

  • Online ISBN: 978-3-319-50832-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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