摘要： 提出一种利用单目摄像头快速定位人眼的方法，通过改进的AdaBoost方法构造级联强分类器定位人脸，根据人眼眨眼前后眼部区域灰度变化显著的特点检测人眼区域，采用边缘提取、局部Hough变换检测圆心的方法定位瞳孔中心。实验结果表明，该算法能够快捷、准确地定位复杂背景下的人眼，对于光照及头部旋转情况下人眼定位具有较好的鲁棒性。

关键词: 分类器, 眼部区域, 灰度变化, 边缘提取, Hough变换, 瞳孔

Abstract: A fast localization algorithm is presented for the human eye with single camera. The face is located adopting the improved AdaBoost constructed strong cascade classifier. The eye region can be detected according to the obvious gray changes in the area of the eye before eye-blink and after. The method of edge extraction and local Hough transform for detecting the center of circle is adopted to detect the center of pupil. Experimental results indicate as follows: simple equipments used in the algorithm, precise localization algorithm, fast and accurate positioning the eye even in the complex background, as well as good robustness in the case of illumination and head rotation.

Key words: classifier, eye area, gray change, edge extraction, Hough transform, pupil

中图分类号: 

• TP312