• DocumentCode
    3453764
  • Title

    Human walker´s detection and localization

  • Author

    Ammar Cherif, Boudour ; Rokbani, Nizar ; Alimi, Adel M. ; Ben Khelifa, Mohamed Moncef

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Sfax, Sfax, Tunisia
  • fYear
    2009
  • fDate
    6-8 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Vision based human robot interaction (HRI) is one of main interest in our research. The aim of this paper is the detection and localization of a human walker. Our system detects the human walking by tracking the skin, locating the head and the lower part of the body and determination of joints motion. We combine two approaches: skin colour detection and leg motion by the gradient method for gesture recognition. Experimental results have been extracted for a set of sequences in different environments.
  • Keywords
    gesture recognition; gradient methods; human-robot interaction; image colour analysis; image motion analysis; object detection; optical tracking; robot vision; body location; gesture recognition; gradient method; head location; human walker detection; human walker localization; human walking; joints motion; leg motion; skin colour detection; skin tracking; vision based human robot interaction; Detectors; Human robot interaction; Intelligent robots; Machine vision; Motion analysis; Motion detection; Object detection; Robot vision systems; Skin; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (SCS), 2009 3rd International Conference on
  • Conference_Location
    Medenine
  • Print_ISBN
    978-1-4244-4397-0
  • Electronic_ISBN
    978-1-4244-4398-7
  • Type

    conf

  • DOI
    10.1109/ICSCS.2009.5412217
  • Filename
    5412217