Side Face Contour Extraction Algorithm for Driving Fatigue Detection

Fatigue-driving detection, which employs pattern recognition measure to discover driver’s fatigue status, is considered as a key technique to improve road safety. However, the widely used frontal face recognition systems have some problems, such as low recognition accuracy, lack of real-time response, and high algorithm complexity. As a very efficient supplement, in this paper, a side face contour extraction algorithm is proposed, which is composed of side face basic extraction, image correction and side face contour extraction. Experiment results show that proposed algorithm could easily extract nose and chin contour line from side face image effectively, which helps in detecting nodding posture caused by fatigue and lays a good foundation for fatigue state’s real-time tracking application.