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Human Action Understanding Using Motion Verbs in WordNet

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AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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Abstract

In this paper, we introduce a novel method about how to recognize the human action/activity in video using motion verbs based on WordNet. We provide a more deterministic mapping, and then we have extended WordNet with a small, fixed vocabulary of highly salient attribute for human motion description.

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References

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Chosun University, 375 Seosuk-dong Dong-Ku, Gwangju, 501-759, Korea

    Miyoung Cho, Dan Song & Junho Choi

  2. Dept. of CSE, Chosun University, Korea

    Pankoo Kim

Authors
  1. Miyoung Cho
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  2. Dan Song
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  3. Junho Choi
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  4. Pankoo Kim
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Editor information

Editors and Affiliations

  1. Guangxi Normal University, College of CS and IT, Guilin, China, and University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia

    Shichao Zhang

  2. Department of Electrical and Computer Systems Engineering, Monash University, 3800, Melbourne, Victoria, Australia

    Ray Jarvis

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© 2005 Springer-Verlag Berlin Heidelberg

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Cho, M., Song, D., Choi, J., Kim, P. (2005). Human Action Understanding Using Motion Verbs in WordNet. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_171

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  • DOI: https://doi.org/10.1007/11589990_171

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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