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View-Invariant Human Action Recognition Using Exemplar-Based Hidden Markov Models

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Intelligent Robotics and Applications (ICIRA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5928))

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Abstract

An exemplar-based Hidden Markov Model is proposed for human action recognition from any arbitrary viewpoint image sequence. In this framework, human action is modelled as a sequence of body poses (i.e., exemplars) which are represented by a collection of silhouette images. The human actions are recognized by matching the observation image sequence to predefined exemplars, in which the temporal constraints were imposed in the exemplar-based Hidden Markov Model. The proposed method is evaluated in a public dataset and the result shows that it not only reduces computational complexity, but it also is able to accurately recognize human actions using single cameras.

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Author information

Authors and Affiliations

  1. The Institute of Industrial Research, The University of Portsmouth, UK

    Xiaofei Ji & Honghai Liu

  2. The College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, China

    Xiaofei Ji

Authors
  1. Xiaofei Ji
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  2. Honghai Liu
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Editor information

Editors and Affiliations

  1. School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore

    Ming Xie

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, P. R. China

    Youlun Xiong

  3. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 430074, Wuhan, P.R. China

    Caihua Xiong

  4. Institute of Industrial Research, University of Portsmouth, PO1 3QL, Portsmouth, UK

    Honghai Liu

  5. Department of Computer Science and Electrical Engineering, Kumamoto University, 860-8555, Kumamoto, Japan

    Zhencheng Hu

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© 2009 Springer-Verlag Berlin Heidelberg

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Ji, X., Liu, H. (2009). View-Invariant Human Action Recognition Using Exemplar-Based Hidden Markov Models. In: Xie, M., Xiong, Y., Xiong, C., Liu, H., Hu, Z. (eds) Intelligent Robotics and Applications. ICIRA 2009. Lecture Notes in Computer Science(), vol 5928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10817-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-10817-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10816-7

  • Online ISBN: 978-3-642-10817-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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