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An Application of AdaBoost Learning Algorithm and Kalman Filter to Hand Detection and Tracking

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(4), pp.47-56
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Byeong-Man Kim 1 Kim, Jun - Woo 1 Lee, KwangHo 2

1금오공과대학교
2목포대학교

Candidate

ABSTRACT

With the development of wearable(ubiquitous) computers, those traditional interfaces between human and computers gradually become uncomfortable to use, which directly leads to a requirement for new one. In this paper, we study on a new interface in which computers try to recognize the gesture of human through a digital camera. Because the method of recognizing hand gesture through camera is affected by the surrounding environment such as lighting and so on, the detector should be a little sensitive. Recently, Viola's detector shows a favorable result in face detection, where Adaboost learning algorithm is used with the Haar features from the integral image. We apply this method to hand area detection and carry out comparative experiments with the classic method using skin color. Experimental results show Viola's detector is more robust than the detection method using skin color in the environment that degradation may occur by surroundings like effect of lighting.

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