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Human Action Recognition in Video Under Clutter and Moving Background

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Book cover Trends and Applications in Knowledge Discovery and Data Mining (PAKDD 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8643))

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Abstract

Behavior or action recognition in video sequences has becoming a more interesting and active research for computer vision. Applications of human action recognition, such as video retrieval, video surveillance and video event analysis are expanded extensively. Generally the video data used are based on fixed camera with stationary background, well-controlled environment and under simple actions. However, in real human action cases, the actions of human behavior are often complex and the background are cluttered with illumination changes, different human body size and moving camera. These make the real video much more complex. In this study, study to improve accuracies of human action recognition under clutter and moving background is proposed. The recognition scheme is based on the space-time interest point (STIP) and naïve Bayes based mutual information maximization (NBMIM). Methods including the selection of robust feature points based on camera motion estimation, analysis and correlations of the important STIP features during the training stage and weighting mechanism for action recognition to improve the recognition rate are used. Experimental results using the YouTube dataset indicate the effectiveness of the proposed scheme.

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Acknowledgments

This work was partially supported by National Science Council of Taiwan, under Grants NSC-101-2221-E-231-029.

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Tao-Yuan, 32097, Taiwan

    Der-Jyh Duh

  2. Department of Computer Engineering and Science, Yuan Ze University, Chung-Li, 32003, Taiwan

    Cheng-Chung Kan, Shu-Yuan Chen & Chia-Ming Lu

Authors
  1. Der-Jyh Duh
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  2. Cheng-Chung Kan
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  3. Shu-Yuan Chen
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  4. Chia-Ming Lu
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Corresponding author

Correspondence to Der-Jyh Duh .

Editor information

Editors and Affiliations

  1. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Chih Peng

  2. Google Research, Mountain View, California, USA

    Haixun Wang

  3. University of Melbourne, Melbourne, Victoria, Australia

    James Bailey

  4. National Cheng Kung University, Tainan, Taiwan

    Vincent S. Tseng

  5. Japan Advanced Institute of Science and Technology, Nomi City, Japan

    Tu Bao Ho

  6. Nanjing University, Nanjing, China

    Zhi-Hua Zhou

  7. National Chengchi University, Taipei, Taiwan

    Arbee L.P. Chen

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© 2014 Springer International Publishing Switzerland

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Duh, DJ., Kan, CC., Chen, SY., Lu, CM. (2014). Human Action Recognition in Video Under Clutter and Moving Background. In: Peng, WC., et al. Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2014. Lecture Notes in Computer Science(), vol 8643. Springer, Cham. https://doi.org/10.1007/978-3-319-13186-3_64

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  • DOI: https://doi.org/10.1007/978-3-319-13186-3_64

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13185-6

  • Online ISBN: 978-3-319-13186-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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