Research on driver's face detection and position method based on image processing

This paper is presented research on face detection for fatigue driving detection. Due to the complicated situation when driving, conventional methods that applied in detecting driver's face take a large amount of time and are at low accuracy rate. For this reason, an ellipse with self-learning radius is taken to instead of 2d Gaussian Distribution Model, and some other promoted methods are also used in this paper such as Integral Projection, Barycenter Adjustment method, etc. All of these achieve the purpose of positioning face accurately and quickly in various complicated cases such as complex illumination, small angles of side face, etc.