Real-time Eyes State Classification Based on EM GMM for Driver Monitoring

摘要：

It is important to detect the driver fatigue at an early stage in order to prevent accidents caused by doze operation. Driver eyes states estimation is one of key components for judgments of fatigue levels. A prototype system is presented that detects the eyes states of driver in real time under realistic lighting conditions. The goal of the work is to classify the states of eyes, which can help tracking and analyzing the fatigue states of driver. An efficient cluster analysis method based on EM GMM is presented in the paper.

关键词： Driver fatigue ir bright-pupil tracking gmm

作者: Feng Jiao Desheng Fu Guiming He

作者单位: Computer School of Wuhan University, Hubei Wuhan, Wuluo road, 430072, China, Computer and Software Institute, Nanjing University of Information Science and Technology, Nanjing,

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）