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Real-Time face detection using the Skin color and Haar-like feature

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(4), pp.113-121
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

정중교 1 Park Sangsung ORD ID 1 JANG, Dong Sik 1

1고려대학교

Candidate

ABSTRACT

Face detection in real-time video constitutes one of the major trend in face recognition. In this paper, we propose a face detection algorithm using the skin color and Haar-like feature in real-time video. The proposed algorithm is followed by three sequences; First, moving objects are detected by difference-method in YCbCr coordinates, and then by using Haar-like features, face candidate regions of the moving objects is selected. Finally we extract the most possible face candidates by comparing the pixel values of face candidates with the skin color. In order to prevent a mistake, we use similar features or skin color to detect a face by selecting a adaptive ROI and improve the processing speed in real-time video. The computer simulation shows the validity of the proposed method that the processing speed is improved by 30% than previous works and the detection success rate is 96.8%.

Citation status

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