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Image Understanding for Prevention of Vandalism in Metro Stations

  • Nicolas Chleq
  • Francois Bremond
  • Thonnat Monique
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 488)

Abstract

We address here the issues of developing an interpretation system describing automatically human activities from image sequences. The class of applications we are interested in, is the automatic surveillance and monitoring of metro stations scenes observed by a monocular camera. Given image sequences, an interpretation system has to recognize scenarios relative to the behaviours of mobile objects detected in the scene. In our case, the mobile objects correspond to humans and the scenarios describe human activities.

Keywords

Video Sequence Mobile Object Interpretation System Metro Station Mobile Region 
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 Science+Business Media New York 1999

Authors and Affiliations

  • Nicolas Chleq
    • 1
  • Francois Bremond
    • 1
  • Thonnat Monique
    • 1
  1. 1.INRIA Sophia AntipolisSophia AntipolisFrance

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