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Dynamic Colour Clustering for Skin Detection Under Different Lighting Conditions

  • Nadia Brancati
  • Giuseppe De Pietro
  • Maria Frucci
  • Luigi Gallo
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 673)

Abstract

Skin detection is an important process in many applications like hand gesture recognition, face detection and ego-vision systems. This paper presents a new skin detection method based on a dynamic generation of the skin cluster range in the YCbCr color space, by taking into account the lighting conditions. The method is based on the identification of skin color clusters in the YCb and YCr subspaces. The experimental results, carried out on two publicly available databases, show that the proposed method is robust against illumination changes and achieves satisfactory results in terms of both qualitative and quantitative performance evaluation parameters.

Keywords

Skin detection Dynamic clustering YCbCr colour space 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Nadia Brancati
    • 1
  • Giuseppe De Pietro
    • 1
  • Maria Frucci
    • 1
  • Luigi Gallo
    • 1
  1. 1.Institute for High-Performance Computing and NetworkingNational Research Council (ICAR-CNR)NaplesItaly

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