军用车辆驾驶中的眼睛状态检测法研究  

Study on Eye State Detection of Military Vehicles Driving

作　　者：田亮 曹海燕[2] 苏晓娜 

机构地区：[1]国网太原供电公司,太原030012 [2]太原理工大学物理与光电工程学院,太原030024

出　　处：《火力与指挥控制》2014年第5期176-179,共4页Fire Control & Command Control

摘　　要：为提高军用车辆的驾驭能力,增强战斗力,侧重于军队机动车、装甲车驾驶员眼睛的疲劳状态,利用人脸的特征定位驾驶员的脸部区域,通过改进的Snake算法提取眼睛的轮廓,精确定位眼睛。从中提取与疲劳驾驶有关的信息:PERCLOS值,确定疲劳驾驶指标。实验分析得出,此算法满足实时性、可靠性以及非接触的要求,且不会对军用车辆驾驶员造成干扰。To improve the ability to control of military vehicles,and enhance the combat effectiveness,this paper focuses on the driver＇s eye fatigue state of the military motor vehicle and armored vehicle. The driver＇s face region is determined using the face feature. The contour of the eye is extracted,using the improved Snake algorithm. Then the eyes is located accurately. The fatigue related information,PERCLOS value,and determine the fatigue driving index. The results indicate that this algorithm can meet the requirements of real-time,reliability and non contact,and does not influence the armored car driver.

关 键 词：军用车辆 眼睛定位 PERCLOS 疲劳驾驶 

分 类 号：U471.3[机械工程—车辆工程]