摘要
驾驶疲劳检测是预防驾驶疲劳提高交通安全的有效手段。以视频图像处理为基础,采用Open CV中的Haar分类器,对驾驶人人脸、人眼进行检测;以基于PERCLOS的疲劳检测算法为基础,提出"双眼检测、单眼疲劳判别"的疲劳检测方法,在PC机Visual Studio集成开发环境下,采用C++编程语言设计了驾驶疲劳检测仿真程序;通过输入驾驶人模拟疲劳驾驶视频,仿真实现了驾驶人人脸检测、眼睛闭合状态检测、驾驶疲劳检测以及疲劳状态声音预警。
Driver＇s fatigue detection is an effective means to prevent driver＇s fatigue and improve traffic safety. On the basis of video image processing, the Haar classifier in Open CV is used to detect the driver＇s face and eyes. Based on the fatigue detection algorithm of PERCLOS, the fatigue detection method of ＂double eye detection and single eye fatigue discrimination＂ is proposed. Under the Visual Studio integrated development environment of PC, the driver＇s fatigue detection simulation program is designed by using C＋＋ programming language. By inputting the driver＇s simulated fatigue driving video, we simulate the driver＇s face detection, eye closed state detection, driver＇s fatigue detection and fatigue state warning.
作者
陈昕
朱国华
张驰
高令顺
CHEN Xin;ZHU Guohua;ZHANG Chi;GAO Ling-shun(School of Automobile and Traffic Engineering, Liaoning University of Technology, Jinzhou 121001, China;Ze Yi Traffic Engineering Consulting （Shanghai） Co., Ltd., Shanghai 201210, China)
出处
《辽宁工业大学学报（自然科学版）》
2018年第3期182-186,191,共6页
Journal of Liaoning University of Technology(Natural Science Edition)
基金
上海张江国家自主创新示范区专项发展资金基金项目(201609-JD-C1085-010)
