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SVM-Based Approach for Human Daily Motion Recognition

  • Haitao Yang
  • Xinrong Zhang
  • Mengting Chen
  • Heather T. MaEmail author
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 64)

Abstract

The application of human motion analysis and recognition is very extensive, involving national defense, medical, film production and many other areas.

Notes

Acknowledgements

Research supported by the High-End Talent Oversea Returnees Foundation of Shenzhen (KQC201109020052A), Basic Research Foundation (Outstanding Young Investigator Track) of Shenzhen (JC201005260124A), and the National Science Foundation of China (81000647).

References

  1. 1.
    R. Green, L. Guan. Quantifying and recognizing human movement patterns from monocular video images-Part I: A new framework for modeling human motion. IEEE Transactions on Circuits and systems for Video Technology, Special Issue on Image and Video-Based Biometrics, 14: pp. 179–190, 2004.Google Scholar
  2. 2.
    I. Laptev, B. Caputo, Recognizing Human Actions: A Local SVM Approach, Pattern Recognition, 2004.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Haitao Yang
    • 1
  • Xinrong Zhang
    • 1
  • Mengting Chen
    • 1
  • Heather T. Ma
    • 1
    Email author
  1. 1.Department of Electronic & Information EngineeringHarbin Institute of Technology Shenzhen Graduate SchoolShenzhenChina

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