计算机与数字工程Issue(10)：1957-1961,5.DOI:10.3969/j.issn1672-9722.2014.10.049
基于图像特征的驾驶员疲劳状态检测算法研究磁
Driver's Fatigue State Detection Based on Image Features
摘要
Abstract
Effective monitor of the driver's state is helpful to prevent accidents caused by driver fatigue .By analyzing the human eye gray value and movement characteristics ,a new differential characteristic to measure the state of the human eye changes is proposed .Combined with the PERCLOS method ,three kinds of fatigue criterion methods closed-eye frames , continuous frames blink and frequent blinking frames are used to the driver fatigue state judgment .关键词
图像特征/疲劳检测/差分/PERCLOSKey words
image features/fatigue/differential/PERCLOS分类
信息技术与安全科学引用本文复制引用
田祎..基于图像特征的驾驶员疲劳状态检测算法研究磁[J].计算机与数字工程,2014,(10):1957-1961,5.基金项目
陕西省教育厅科研项目（编号2013JK1160）；商洛学院科研项目（编号12SKY007）资助。 （）
