Journal of Multimedia Information System

Korea Multimedia Society (한국멀티미디어학회)
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Drowsiness Detection Method during Driving by using Infrared and Depth Pictures

  • You, Gang-chon (Dept. of Computer Software Engineering, Dongeui University) ;
  • Park, Do-hyun (Dept. of Computer Software Engineering, Dongeui University) ;
  • Kwon, Soon-kak (Dept. of Computer Software Engineering, Dongeui University)
  • Received : 2018.09.21
  • Accepted : 2018.09.26
  • Published : 2018.09.30
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Abstract

In this paper, we propose the drowsiness detection method for car driver. This paper determines whether or not the driver's eyes are closed using the depth and infrared videos. The proposed method has the advantage to detect drowsiness without being affected by illumination. The proposed method detects a face in the depth picture by using the fact that the nose is closest to the camera. The driver's eyes are detected by using the extraction of harr-like feature within the detected face region. This method considers to be drowsiness if eyes are closed for a certain period of time. Simulation results show the drowsiness detection performance for the proposed method.

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References

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