Eye Location in Face Images for Driver Fatigue Monitoring
Qiong Wang, Wankou Yang, Huan Wang, Zhibo Guo, Jingyu Yang · 2006
For a driver fatigue monitoring system one of the most important problem to solve is eye location. This paper presents an efficient approach to achieve fast and accurate eye location in gray level images. The structure of eye region is used as a robust cue to find possible eye pairs. Candidates of eye pair at different scales are selected by finding regions which roughly match with the binary eye pair template. To obtain real one, all the eye pair candidates are then verified by using support vector machines (SVMs). Eyes are finally located, which is the basis of the eyes states analysis (open or closed). The proposed method is robust to deal with illumination changes, moderate rotations, glasses wearing and different eye states. Experimental results demonstrate its effectiveness