Driver Fatigue Detection System Based on Machine Vision

被引：1
|
作者：
Zhang, Zhibin [1 ]
Chen, Yangzhou [1 ]
Yang, Yuzhen [1 ]
机构：
[1] Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100022, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
machine vision; skin color segmentation; eye location;
D O I：
10.1109/WCICA.2008.4593566
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Driver fatigue detection is attractive in Intelligent Transportation Systems (ITS). In this paper, we analyze some usual methods of driver fatigue detection, and choose the Machine Vision Based method to create a real-time driver fatigue detection system. First we separate the background through skin color segmentation, and band the face region in a rectangle according to prior information. Then we locate eyes by using Haar-Like features. Finally we propose a new method to compute percentage of eyelid closure by using the features of the rectangle border of iris. The results of indoors experiments show good detection rate and precision.
引用
收藏
页码：3979 / 3984
页数：6
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