• DocumentCode
    3399664
  • Title

    Template Tracking using Generalized Modus Tollens

  • Author

    Strauss, Olivier ; Comby, Frédéric

  • Author_Institution
    LIRMM, Univ. Montpellier II
  • fYear
    2005
  • fDate
    25-25 May 2005
  • Firstpage
    282
  • Lastpage
    287
  • Abstract
    This article describes an original method to track 2D templates in a video sequence. This approach is based on robust modelling of the interaction between pattern movement and grey level variations in the image using fuzzy bimodal rules. Movement estimation is performed by inverting these rules and polling the results in a quasicontinuous histogram. Some experimental results are given to illustrate the performance of this algorithm
  • Keywords
    fuzzy set theory; image sequences; motion estimation; object recognition; target tracking; 2D template tracking; fuzzy bimodal rules; generalized modus tollens; grey level variations; movement estimation; object position; pattern movement; quasicontinuous histogram; rule inversion; video sequence; Brightness; Cameras; Histograms; Human robot interaction; Lighting; Pixel; Robot vision systems; Robustness; Target tracking; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
  • Conference_Location
    Reno, NV
  • Print_ISBN
    0-7803-9159-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.2005.1452407
  • Filename
    1452407