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Human Activity Interpretation Using Evenly Distributed Points on the Human Hull

  • Łukasz Kamiński
  • Krzysztof Kowalak
  • Paweł Gardziński
  • Sławomir Maćkowiak
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8671)

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.

Keywords

Characteristic Point Scale Invariant Feature Transform Dynamic Bayesian Network Human Activity Recognition Consecutive Time Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Łukasz Kamiński
    • 1
  • Krzysztof Kowalak
    • 1
  • Paweł Gardziński
    • 1
  • Sławomir Maćkowiak
    • 1
  1. 1.Poznań University of TechnologyPoland

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