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Recent Advances in Information and Communication Technology 2016 pp 79–92Cite as

Human Action Invarianceness for Invarianceness Using Integration Moment for Human Action Recognition in Video

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 463))

Abstract

The uniqueness of the human action shape or silhouette can be used for the human action recognition. Acquiring the features of human silhouette to obtained the concept of human action invarianceness have led to an important research in video surveillance domain. This paper discusses the investigation of this concept by extracting individual human action features using integration moment invariant. Experiment result have shown that human action invarianceness are improved with better recognition accuracy. This has verified that the integration method of moment invariant is worth explored in recognition of human action in video surveillance.

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Acknowledgements

The authors would like to thank Universiti Teknologi Malaysia (UTM) for the support in Research and Development. We also acknowledge the support of Soft Computing Research Group and UTM Big Data Center for the inspiration in making this study a success and our sincere thanks to other researchers who paved the way for this work. This work is supported by The Ministry of Higher Education, Malaysia under Fundamental Grant Research Scheme RJ130000.7809.4F802—Psystem for Breadth First Searching in Shortest Path Algorithm.

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Authors and Affiliations

  1. UTM Advanced Informatic School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Nilam Nur Amir Sjarif

  2. UTM Big Data Centre, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia

    Siti Mariyam Shamsuddin, Siti Zaiton Mohd Hashim, Aida Ali & Zanariah Zainudin

  3. Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia

    Siti Mariyam Shamsuddin, Siti Zaiton Mohd Hashim & Aida Ali

Authors
  1. Nilam Nur Amir Sjarif
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  2. Siti Mariyam Shamsuddin
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  3. Siti Zaiton Mohd Hashim
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  4. Aida Ali
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  5. Zanariah Zainudin
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Corresponding authors

Correspondence to Nilam Nur Amir Sjarif or Siti Mariyam Shamsuddin .

Editor information

Editors and Affiliations

  1. Fac of Information Technology, King Mongkut's Uni of Tech North Bangkok, Bangkok, Thailand

    Phayung Meesad

  2. Faculty of Information Technology, King Mongkut's Uni of Teck North Banqkok, Bangkok, Thailand

    Sirapat Boonkrong

  3. Lehrgebiet Kommunikationsnetze, FernUniversität in Hagen, Hagen, Germany

    Herwig Unger

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© 2016 Springer International Publishing Switzerland

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Sjarif, N.N.A., Shamsuddin, S.M., Hashim, S.Z.M., Ali, A., Zainudin, Z. (2016). Human Action Invarianceness for Invarianceness Using Integration Moment for Human Action Recognition in Video. In: Meesad, P., Boonkrong, S., Unger, H. (eds) Recent Advances in Information and Communication Technology 2016. Advances in Intelligent Systems and Computing, vol 463. Springer, Cham. https://doi.org/10.1007/978-3-319-40415-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-40415-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40414-1

  • Online ISBN: 978-3-319-40415-8

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