摘要
针对驾驶员疲劳状态检测问题,该文提出了一种基于人眼识别的疲劳检测算法。通过人眼来检测驾驶员的疲劳状态是一种简单且有效的方法,人眼的检测和定位是其中的关键问题。为了降低背景环境对检测的干扰,首先采用YCbCr空间的高斯肤色模型的方法将人脸检测出来,其次对检测出来的人脸进行去噪处理,用积分投影的方法将人眼部分独立分割出来,计算出眼睛的面积,将它与模板进行比较,由此判断驾驶员是否疲劳。
To solve driver fatigue detection problem,the fatigue detection method is proposed based on eyes detection.Detecting the driver fatigue according to the people＇s eyes is a convenient and valid method,in which the eyes detection and location is an important tache.In order to reduce the interference of the background environment on the test,two steps are required.First,preprocess image using the Gaussian skin color model approach in YCbCr space enable the human face to be detected.The second step is a depressing noise process.Separate the human eye via image segmentation method,by the method of which integral projiction that the area of eye can be calculated.Followed by a comparison with the template,whether the driver is fatigue or not can be determined.
作者
薄华
王蕾
BO Hua,WANG Lei（Shanghai Maritime University,Shanghai 201306,China）
出处
《电脑知识与技术》
2011年第9期6164-6165,6177,共3页
Computer Knowledge and Technology
