Abstract: It puts forward a new visual fatigue analysis algorithm which is applicable to detect face location and eyes state in driving at real time. The differential method is quickly used to find the target area of video. Face is positioned by skin color segmentation combining YCbCr color space. The eyelid is detected by using the gray integral projection and Hough transform in the area of face. The detected data of eyelid is analyzed, and the condition of eyes is got. Value of EOD is to judge whether the driver is fatigue combined with blink analysis. The experimental result shows that the method can locate face quickly in complex background. The value of EOD is detected when the eyes open, and real-time test of visual fatigue is improved.

Key words: driving fatigue, video, skin color segmentation, Hough transform, blink cycle

摘要： 提出一种新的适用于驾驶中视觉疲劳实时检测的人脸定位及眼睛状态分析算法。采用差分法快速找到视频图像中的目标运动区域，结合YCbCr色彩空间进行肤色分割定位人脸。对脸部区域进行灰度积分投影并结合Hough变换检测眼睑。对检测到的眼睑进行数据分析，得到眼睛开闭情况，结合眨眼分析，获得EOD值来判断驾驶员是否疲劳。实验结果显示该方法能在复杂背景下快速定位人脸，检测到眼睛睁开时的EOD值，满足视觉疲劳检测的实时需要。

关键词: 疲劳驾驶, 视频, 肤色分割, Hough变换, 眨眼周期