【作者】 张晨欢；

【导师】 赵春霞；

【作者基本信息】 南京理工大学 ， 模式识别与智能系统， 2007， 硕士

【摘要】 汽车驾驶安全性的提高，有赖于汽车安全技术的研究。作为汽车主动安全技术的组成部分，对驾驶员驾驶状态的监控是必不可少的。本文的研究内容是使用普通的摄像头实时地进行人眼视线方向估计和驾驶员眼睛状态检测，用以判断驾驶员是否处于安全驾驶状态。首先，本文研究了眼睛各个特征的检测方法，包括眼睛窗口定位，眼睑和角点检测，虹膜检测。本文将上眼睑视为一段椭圆弧，采用一种基于Hough变换的椭圆检测方法对其进行检测；将虹膜用圆来拟合，采用亚像素边缘检测方法检测亚像素级的虹膜边缘和基于梯度朝向和梯度方向信息的Hough变换的方法检测虹膜。实验表明，本文采用的方法在低分辨率图像条件下具有更高的估计精度和实时性。然后，本文对人眼模型进行了讨论，在传统纺锤形眼睛模型的基础上，忽略下眼睑，只保留上眼睑、内外角点和虹膜，并且采用一种简单的视线定位方法定位视线方向。最后，本文将所提出的人眼视线方向估计算法应用于实时视线方向监控系统。这个系统能够实时地对驾驶员视线方向和眼睛状态进行监控。更多还原

【Abstract】 The enhancement of automobile driving security depends on the research of automobile security technology. As one of automobile initiative security technologies, it is essential to monitor the condition of the driver. In this thesis, we focus on how to estimate the gaze of human eye and detect the state of the driver’s eyes in real-time with a common camera, so that we can determine whether the driver is at unsafe driving condition.First of all, we research methods of eye features detection, including eye window positioning, eye-lid and eye comers detection, and iris detection. We regard the upper-eyelid as a section of ellipse arc and use the method of Hough transform to detect ellipse. Then we regard the iris as a circle and use the method of sub-pixel detection to detect sub-pixel edge and the method of Hough transform based on gradient orientation and gradient direction to detect circle. The experiment indicates that these methods have the higher estimating precision and more timeliness under the low resolution image condition.Then, we discuss the eye model. Based on the traditional spindly eye model, we ignore the down-eyelid, only retain upper-eyelid, iris and eye corners. And we adopt a simple method to estimate gaze.Finally, we apply the gaze estimation algorithm this paper proposed in a real-time gaze safety examination system. This system can carry on the monitoring of the gaze direction and the sleepy condition real-time.更多还原