摘要
提出了一种新的基于人眼特征信息的驾驶人眼视线估计的算法,且研究使用普通的摄像头。采用Harris角点检测算法对驾驶人上、下眼睑外轮廓进行角点检测,拟合人眼轮廓曲线;再对人眼区域图像进行色彩空间转换提取灰阶值分量,图像亚像素下进行Hough边缘检测,设定相应的虹膜边缘曲率阈值,准确识别人眼虹膜边缘信息。算法结合虹膜和人眼轮廓信息对驾驶人眼视线进行估计。将提出的算法应用到实车试验中,采用facelab5眼动仪对驾驶人视线估计角度结果进行验证。试验结果表明,所采用的人眼视线角度估计算法在实际的驾驶环境中准确率较高。
A new algorithm based on eye＇s characteristic information for the gaze estimation of driver＇s eye is proposed and using the common camera. First of all, the eye model is discussed and the new model is put forward according to the samples＇analysis. As the components of eye model, the upper eyelid, （inner and outer） eye corners and iris are to be detected. Harris comer algorithm is used for detection of the driver＇s upper eyelid and lower eyelid contour corner, and fitting the human eye＇s contour curve. Then, image color space and extracting component of gray-scale value of the human eye＇s image is converted, and adopted Hough edge detection algorithm in sub-pixel image. The corresponding threshold of the curvature of the iris＇s edge is set, and the human iris edge information is identified accurately. The algorithm for the sake of the gaze estimation of driver＇s eye which combined with the iris and the human eye contour information. According to our defined gaze model and the analysis of eye features, the gaze of human eye can be estimated. The proposed algorithm is applied to the real vehicle experiment. In order to verify the driver＇s gaze estimation, and facelab5 eye movement instrument is used for the verifica- tion. The markers are detected by computer vision method, and the relationship between scene image and computer screen is constructed with point correspondences in two views. The point of gaze in the scene image is translated to computer screen coordinate. The experimental results show that the proposed algorithm for the gaze estimation of driver＇s eye has a high accuracy in the actual driving conditions and the low -resolution images.
出处
《科学技术与工程》
北大核心
2014年第28期235-241,共7页
Science Technology and Engineering
基金
国家自然科学基金(61374196)
教育部长江学者与创新团队支持计划(IRT1286)资助
关键词
人眼特征
视线估计
色彩空间
虹膜边缘
眼动仪
eye＇s characteristics
gaze estimation
color space
iris＇s edge
eye movement instrument
