Driver Hypo-vigilance Detection Based on Eyelid Behavior

  • Authors:
  • Mohamad Hoseyn Sigari

  • Affiliations:
  • -

  • Venue:
  • ICAPR '09 Proceedings of the 2009 Seventh International Conference on Advances in Pattern Recognition
  • Year:
  • 2009

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Abstract

Driver face monitoring system is a real-time system that can detect driver fatigue and driver distraction using machine vision approaches. In this paper, a new algorithm is proposed for driver hypo-vigilance detection based on eye-region processing and without explicit eye detection stage. In this method, horizontal projection of top half-segment of facial image is used to extract symptoms of fatigue and distraction. Percentage of eye closure (PERCLOS) and eyelid distance changes during time are used for fatigue detection; and eye closure rate is used for distraction detection. The novelty of our method is in adaptive feature extraction using spatio-temporal processing without explicit eye detection. Processing rate of proposed method is more than 5 frames per second.