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Human Activity Interpretation Using Evenly Distributed Points on the Human Hull

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Computer Vision and Graphics (ICCVG 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8671))

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Abstract

In this paper, a human activity recognition system which automatically detects human behaviors in video is presented. The solution presented in this paper uses a directed graphical model with proposed by the authors Evenly Distributed Points (EDP) method. The experimental results prove efficient representation of the human activity and high score of recognition.

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© 2014 Springer International Publishing Switzerland

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Kamiński, Ł., Kowalak, K., Gardziński, P., Maćkowiak, S. (2014). Human Activity Interpretation Using Evenly Distributed Points on the Human Hull. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_38

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  • DOI: https://doi.org/10.1007/978-3-319-11331-9_38

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11330-2

  • Online ISBN: 978-3-319-11331-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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