A Real Time Human Detection System Based on Far Infrared Vision

  • Yannick Benezeth
  • Bruno Emile
  • Hélène Laurent
  • Christophe Rosenberger
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5099)


We present in this article a human detection and tracking algorithm using infrared vision in order to have reliable information on a room occupation. We intend to use this information to limit energetic consumption (light, heating). We perform first, a foreground segmentation with a Gaussian background model. A tracking step based on connected components intersections allows to collect information on 2D displacements of moving objects in the image plane. A classification based on a cascade of boosted classifiers is used for the recognition. Experimental results show the efficiency of the proposed algorithm.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Yannick Benezeth
    • 1
  • Bruno Emile
    • 1
  • Hélène Laurent
    • 1
  • Christophe Rosenberger
    • 2
  1. 1.Institut Prisme, ENSI de BourgesUniversité d’OrléansBourges cedexFrance
  2. 2.Laboratoire GREYC, ENSICAENUniversité de Caen CNRSCaenFrance

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