KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Driver's Face Detection Using Space-time Restrained Adaboost Method

  • Liu, Tong (Department of Electronic Science and Engineering, National University of Defense Technology) ;
  • Xie, Jianbin (Department of Electronic Science and Engineering, National University of Defense Technology) ;
  • Yan, Wei (Department of Electronic Science and Engineering, National University of Defense Technology) ;
  • Li, Peiqin (Department of Electronic Science and Engineering, National University of Defense Technology)
  • Received : 2012.05.02
  • Accepted : 2012.08.23
  • Published : 2012.09.30
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Abstract

Face detection is the first step of vision-based driver fatigue detection method. Traditional face detection methods have problems of high false-detection rates and long detection times. A space-time restrained Adaboost method is presented in this paper that resolves these problems. Firstly, the possible position of a driver's face in a video frame is measured relative to the previous frame. Secondly, a space-time restriction strategy is designed to restrain the detection window and scale of the Adaboost method to reduce time consumption and false-detection of face detection. Finally, a face knowledge restriction strategy is designed to confirm that the faces detected by this Adaboost method. Experiments compare the methods and confirm that a driver's face can be detected rapidly and precisely.

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References

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