Driver Fatigue Detection based on Eye State Analysis

被引：0

作者：

Du, Yong ^{[1
]}

Ma, Peijun ^{[1
]}

Su, Xiaohong ^{[1
]}

Zhang, Yingjun ^{[1
]}

机构：

[1] Harbin Inst Technol, Dept Comp Sci & Technol, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES | 2008年

关键词：

driver fatigue detection; face segment; eye location; eye states analysis;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we present an effective vision-based driver fatigue detection method. Firstly, the interframe difference approach binding color information is used to detect face. If exists, the face area is segmented from the image based on a mixed skin tone model. Then we simulate the process of crystallization to obtain the location of eyes within face area. Later, eye area, average height of the pupil and width to height ratio are used to analyze the eye's status. Finally, the driver fatigue is confirmed by analyzing the changes of eye's states. The experimental results show validity of our proposed method.

引用

页数：6

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