Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (4): 449-.

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Driver Fatigue Detection Based on Eye State

ZHAO Xiaolin, WANG Shigang, JIANG Xiuhong, WANG Xiaoyan, ZHAO Wenting   

  1. College of Telecommunication Engineering, Jilin University, Changchun 130012, China
  • Online:2015-07-24 Published:2015-12-02

Abstract:

To improve the accuracy of driver fatigue detection, presents an improved eye state detection method.Firstly, we use reference white algorithm for the processing of illumination compensation on original frame image, then segment the skin region from background based on color feature. Secondly, we use gray-scale integral projection method to segment face and eyes, combining two parameters that change in the distance between eyebrow and eyelash the change in the number of black pixels in the eye region to judge the state of eyes. If the eyes are found closed for 5 consecutive frame images, the system will give a fatigue alert. The results show that the use of two parameters is better than the use of a single parameter.

Key words: fatigue detection, color feature, eye state

CLC Number: 

  • TP391