Yawn Recognition Algorism for Prevention of Drowsy Driving

졸음운전 방지를 위한 하품 인식 알고리즘

  • Yoon, Won-Jong (Department of Electronic Engineering, Korea National University of Transportation) ;
  • Lee, Jaesung (Department of Electronic Engineering, Korea National University of Transportation)
  • 윤원종 (한국교통대학교 전자공학과) ;
  • 이재성 (한국교통대학교 전자공학과)
  • Published : 2013.10.25

Abstract

This paper proposes the way to prevent drowsy driving by recognizing drivers eyes and yawn using a front camera. The method uses the Viola-Jones algorithm to detect eyes area and mouth area from detection face region. In the eyes area, it uses the Hough transform to recognize eye circle in order to distinguish drowsy driving. In the mouth area, it determines whether for the driver to yawn through a sub-window testing by applying a HSV-filter and detecting skin color of the tongue. The test result shows that the recognition rate of yawn reaches up to 90%. It is expected that the method introduced in this paper might contribute to reduce the number of drowsy driving accidents.

Acknowledgement

Supported by : 한국연구재단