内蒙古大学艺术学院学报
內矇古大學藝術學院學報
내몽고대학예술학원학보
JOURNAL OF ART COLLEGE OF INNER MONGOLIA UNIVERSITY
2012年
4期
202-206
,共5页
PERCLOS%驾驶疲劳%人脸检测%疲劳检测系统
PERCLOS%駕駛疲勞%人臉檢測%疲勞檢測繫統
PERCLOS%가사피로%인검검측%피로검측계통
PERCLOS%driver fatigue%face detection%fatigue driving detection system
本文阐述了PERCLOS测评驾驶疲劳的机理。介绍了疲劳识别的算法，该系统首先利用肤色模型粗略检测出入脸区域，并根据驾驶员面部几何特征，准确定位出眼睛；然后根据眼睛区域白色像素的多少及闭眼持续时间对驾驶员状态做出判断；最后应用MicrosoftVisualC＋＋6．0在WindowsXP操作平台上，对疲劳检测判定进行实现。实验表明：该系统可以准确定位眼睛并判定驾驶员疲劳状态，其准确率为94．44％。
本文闡述瞭PERCLOS測評駕駛疲勞的機理。介紹瞭疲勞識彆的算法，該繫統首先利用膚色模型粗略檢測齣入臉區域，併根據駕駛員麵部幾何特徵，準確定位齣眼睛；然後根據眼睛區域白色像素的多少及閉眼持續時間對駕駛員狀態做齣判斷；最後應用MicrosoftVisualC＋＋6．0在WindowsXP操作平檯上，對疲勞檢測判定進行實現。實驗錶明：該繫統可以準確定位眼睛併判定駕駛員疲勞狀態，其準確率為94．44％。
본문천술료PERCLOS측평가사피로적궤리。개소료피로식별적산법，해계통수선이용부색모형조략검측출입검구역，병근거가사원면부궤하특정，준학정위출안정；연후근거안정구역백색상소적다소급폐안지속시간대가사원상태주출판단；최후응용MicrosoftVisualC＋＋6．0재WindowsXP조작평태상，대피로검측판정진행실현。실험표명：해계통가이준학정위안정병판정가사원피로상태，기준학솔위94．44％。
This paper expounds the mechanism on PERCLOS detecting and evaluating fatigue driving. It introduces fatigue recogni- tion algorithm. This system firstly detects the face region roughly using skin - color model, and the drivers'eyes are located exactly by face geometry features. Secondly, a judgment of the drive's fatigue condition is made according to the number of white pixels in the eye area and the duration of driver's eyes closing. Finally, on the Windows XP operating platform applying Microsoft Visual C + + 6.0, it implements fatigue detection judgment. Experiments show that the system can accurately locate eyes make a judgment of the drive's fatigue condition, the precision rate is 94.44%.
