• DocumentCode
    3566653
  • Title

    Contribution of a color classification to soccer players tracking with snakes

  • Author

    Vandenbroucke, N. ; Macaire, L. ; Vieren, C. ; Postaire, J.-G.

  • Author_Institution
    Dept. Productique, Ecole des Mines de Douai, France
  • Volume
    4
  • fYear
    1997
  • Firstpage
    3660
  • Abstract
    In this paper, we present a soccer players tracking method by successive color images analysis. Each player who is present in the images is modelized by a snake. The snake is computed after a color classification of the pixels in order to recognize the team of each player. The classification process uses a supervised learning scheme based on the colorimetric analysis of the players suits. So, each player is tracked even if he is close to a player of the other team
  • Keywords
    image classification; learning (artificial intelligence); color classification; color images analysis; colorimetric analysis; snake; soccer players tracking method; supervised learning scheme; Cameras; Games; Image analysis; Image color analysis; Image motion analysis; Image recognition; Image sequence analysis; Motion detection; TV; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.633237
  • Filename
    633237
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3566653