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A Study on Real-time Face Detection in Video

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(2), pp.47-53
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kim Hyeung Gyun 1 Bae,Yong-Geun 1

1조선대학교

Accredited

ABSTRACT

This paper proposed Residual Image detection and Color Info using the face detection technique. The proposed technique was fast processing speed and high rate of face detection on the video. In addition, this technique is to detection error rate reduced through the calibration tasks for tilted face image. The first process is to extract target image from the transmitted video images. Next, extracted image processed by window rotated algorithm for detection of tilted face image. Feature extraction for face detection was used for AdaBoost algorithm.

Citation status

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