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基于单目视觉的疲劳自动检测
引用本文:邬正义,张笑非,谈正.基于单目视觉的疲劳自动检测[J].常熟理工学院学报,2005,19(6):57-60.
作者姓名:邬正义  张笑非  谈正
作者单位:常熟理工学院,信息与控制工程系,江苏,常熟,215500;西安交通大学,电子与信息工程学院,陕西,西安,710049;常熟理工学院,信息与控制工程系,江苏,常熟,215500;西安交通大学,电子与信息工程学院,陕西,西安,710049
摘    要:提出了一种基于单目视觉的疲劳检测系统。首先检测人脸,然后对头部进行跟踪,在可靠人脸的基础上,定位并且跟踪眼睛,提取眼角与眼睑特征。通过对眼睛及头部状态的疲劳检测来决定是否触发警告。实验证明系统具有一定的可靠性与准确性。

关 键 词:人脸检测  头部跟踪  眼角提取  疲劳检测
文章编号:1008-2794(2005)06-0057-04
收稿时间:2005-10-15
修稿时间:2005年10月15

Fatigue Detection Based on Monocular Camera
WU Zhengyi,ZHANG Xiaofei,TAN Zheng.Fatigue Detection Based on Monocular Camera[J].Journal of Changshu Institute of Technology,2005,19(6):57-60.
Authors:WU Zhengyi  ZHANG Xiaofei  TAN Zheng
Institution:1. Dept. of Info. and Control Engineering,Changshu Institute of Technology,Changshu 215500 ,China; 2. School of Electronics and Information Engineering, Xian Jiaotong University, Xian 710049, China
Abstract:This paper issues a system for fatigue detection based on Monocular Camera. First we have the human face detected, then track and locate the head. On the basis of reliable human face, we locate and track both eyes, followed by extracting the canthus and eyelid character. By applying fatigue detection algorithm to the state of eyes and head, system can decide whether to turn the alarm on. The system is proved to be reliable and accurate to a certain extent in experiments.
Keywords:face detection  head tracking  canthus extraction  fatigue detection
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