Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Human Hand Detection Using Color Vision

컬러 시각을 이용한 사람 손의 검출

  • Kim, Jun-Yup (School of Electronic and Electrical Engineering, Daegu University) ;
  • Do, Yong-Tae (School of Electronic and Electrical Engineering, Daegu University)
  • 김준엽 (대구대학교 전자전기공학부) ;
  • 도용태 (대구대학교 전자전기공학부)
  • Received : 2011.10.04
  • Accepted : 2011.11.27
  • Published : 2012.01.24
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Abstract

The visual sensing of human hands plays an important part in many man-machine interaction/interface systems. Most existing visionbased hand detection techniques depend on the color cues of human skin. The RGB color image from a vision sensor is often transformed to another color space as a preprocessing of hand detection because the color space transformation is assumed to increase the detection accuracy. However, the actual effect of color space transformation has not been well investigated in literature. This paper discusses a comparative evaluation of the pixel classification performance of hand skin detection in four widely used color spaces; RGB, YIQ, HSV, and normalized rgb. The experimental results indicate that using the normalized red-green color values is the most reliable under different backgrounds, lighting conditions, individuals, and hand postures. The nonlinear classification of pixel colors by the use of a multilayer neural network is also proposed to improve the detection accuracy.

Keywords

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