A Fast Method for Monitoring Driver Fatigue Using Monocular Camera

被引：0

作者：

Ma, Hongbiao ^{[1
]}

Yang, Zehong ^{[1
]}

Song, Yixu ^{[1
]}

Jia, Peifa ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Comp Sci & Technol, Tsinghua Natl Lab Informat Sci & Technol, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China

来源：

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

基金：

国家高技术研究发展计划(863计划);

关键词：

driver fatigue monitoring; computer vision; monocular camera; face detection;

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：

Driver fatigue is an important factor in a large number of accidents. In this paper, a real time vision-based method is proposed to monitor driver fatigue. Firstly, the face is located by a Haar-like feature based object detection algorithm, Secondly, eye is detected and eyelid distance is computed. By analyzing the changes of the distance of eyelid along with time, we can detect driver's fatigue and issue a warning. The main advantage of this system is its extreme high speed and very simple equipment. This system runs at about 15 frames per second in video with 640*480resolution.

引用

页数：4