Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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)
- Published : 2013.10.25
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.
Supported by : 한국연구재단