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机构地区:[1]南昌工程学院,南昌330099
出 处:《森林工程》2008年第5期35-38,共4页Forest Engineering
基 金:江苏省图像处理与图像通信重点实验室资助项目(ZK2004002);江苏省汽车工程重点实验室开放基金(QC200402);江西省科技厅2006年科技资助项目
摘 要:驾驶员行车中大约90%的信息是从视觉得到的,因此测量眼睛闭合、眼睛运动或眼睛生理特性来监视驾驶疲劳对研究行车安全是很重要的。在检测定位人脸的基础上,提出对驾驶员眼睛定位和特征提取的方法,制定眼睛模板,对单位时间内眼睛闭合时间、睁闭的次数进行统计,然后根据试验结果比较分析各类不同的定位眼睛方法的优劣,为研发机动车驾驶员疲劳状况监测系统提供准确可靠的依据。It is important for studying the driving safety to watch driver fatigue by measuring eye closure, eye motion or physiological characteristic of eyes because about 90% information of driver is got by vision. Based on detection and location on faces, location and characteristics of eyes extraction methods were proposed and eye template was made. Time needed by eye closure with unit time, open and close times were counted. Then according to experiment results, advantages and disadvantages of different types of eye-orientation methods were analyzed and compared to provide reliable basis for driver fatigue detection. The method of eyes locating and eyes extractive feature are proposed on the basis of located face, an eyes template was made the time of eye's closing and the blink times are counted in one minute. Then, we can judge whether the driver detected is fatigue by the arithmetic of driver fatigue detecting and alerting, giving the witness of developing and studying the system of the driver detecting.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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