• DocumentCode
    3467162
  • Title

    Body tracking and motion analysis using hybrid model

  • Author

    Abdellaoui, M. ; Douik, A. ; Besbes, K.

  • Author_Institution
    Ecole Nat. d´´Ing. de Monastir, Monastir
  • fYear
    2009
  • fDate
    23-26 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present a new approach for tracking movements of human body in dynamic scenes. The body is characterized by a set of points of interest (PI) issued from Harris corner detector where every one is characterized by its local appearance and its position in each frame of the video sequence. Tracking is achieved by template matching between PI in a pair of consecutive frames in the sequence and is based on various distance calculation criteria. Movement analysis is made by an intelligent decision-making tool based on least squares method, able to estimate direction and orientation of body motion.
  • Keywords
    decision making; image matching; image motion analysis; image sequences; least squares approximations; video signal processing; Harris corner detector; body tracking movement analysis; distance calculation criteria; intelligent decision-making tool; least squares method; motion analysis; template matching; video sequence; Biological system modeling; Decision making; Detectors; Humans; Layout; Least squares methods; Motion analysis; Motion estimation; Tracking; Video sequences; Image sequence analysis; Motion analysis; Object recognition; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices, 2009. SSD '09. 6th International Multi-Conference on
  • Conference_Location
    Djerba
  • Print_ISBN
    978-1-4244-4345-1
  • Electronic_ISBN
    978-1-4244-4346-8
  • Type

    conf

  • DOI
    10.1109/SSD.2009.4956755
  • Filename
    4956755