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.
Fatigue Driving Skin color Model Ellipse Replace Integral Projection Barycenter Adjustment
Jia Mingxing Xu Hengyuan Wang Fei
Academy of Information Science and Engineer, Northeastern University, Shen yang, Liao ning 110004
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
1966-1971
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）