• DocumentCode
    3456664
  • Title

    Object classification inwater sports

  • Author

    Plestina, Vladimir ; Papic, Vladan

  • Author_Institution
    Dept. of Polytech., Univ. of Split, Split, Croatia
  • fYear
    2013
  • fDate
    7-10 July 2013
  • Abstract
    Object classification is a difficult task in many domains. In this paper we propose a method for pixel classification in water sports domain. We separate luminance from YCbCr color space and define 2D color plane and 3D color space for pixels set classification. 2D color plane classification is based on Euclidean distance while 3D color space classification is based on the use of bivariate histograms. Experimental results demonstrate the validity and efficiency of the proposed approach.
  • Keywords
    image classification; image colour analysis; sport; 2D color plane classification; 3D color space classification; Euclidean distance; YCbCr color space; bivariate histograms; object classification; pixel classification; pixels set classification; water sports; Brightness; Correlation; Euclidean distance; Image color analysis; Solid modeling; Testing; Three-dimensional displays; YCbCr color model; supervised image classification; water polo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications (ISCC), 2013 IEEE Symposium on
  • Conference_Location
    Split
  • Type

    conf

  • DOI
    10.1109/ISCC.2013.6755053
  • Filename
    6755053