Finding skin in color images

  • Authors:
  • R. Kjeldsen;J. Kender

  • Affiliations:
  • -;-

  • Venue:
  • FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
  • Year:
  • 1996

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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.