• DocumentCode
    2091584
  • Title

    Finding skin in color images

  • Author

    Kjeldsen, Rick ; Kender, John

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    1996
  • fDate
    14-16 Oct 1996
  • Firstpage
    312
  • Lastpage
    317
  • Abstract
    This paper describes the techniques used to separate the hand from a cluttered background in a gesture recognition system. Target colors are identified using a histogram-like structure called a Color Predicate, which is trained in real-time using a novel algorithm. Running on standard PC hardware, the segmentation is of sufficient speed and quality to support an interactive user interface. The method has shown its flexibility in a range of different office environments, segmenting users with many different skin-tones. Variations have been applied to other problems including finding face candidates in video sequences
  • Keywords
    computer vision; image colour analysis; image segmentation; interactive systems; office automation; real-time systems; skin; user interfaces; Color Predicate; cluttered background; color images; face candidates; gesture recognition system; hand detection; histogram-like structure; image segmentation; interactive user interface; office environments; personal computer; quality; real-time training; skin-tones; speed; video sequences; Application software; Cameras; Color; Face detection; Hardware; Image recognition; Image segmentation; Shape control; Skin; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on
  • Conference_Location
    Killington, VT
  • Print_ISBN
    0-8186-7713-9
  • Type

    conf

  • DOI
    10.1109/AFGR.1996.557283
  • Filename
    557283