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Received:May 03, 2011 Revised:June 01, 2011
Received:May 03, 2011 Revised:June 01, 2011
中文摘要: 针对眼控人机交互系统对实时性要求较高的特点,提出了一种快速、非侵入式的眼动跟踪方法。首先融合CamShift跟踪算法和AdaBoost型目标检测方法快速地分割出眼睛所在矩形区域；然后在第一帧视频图像中精确定位虹膜并建立虹膜模板；最后通过放大或缩小虹膜模板自适应地在后续各帧视频图像中搜索匹配以预测虹膜位置。虹膜中心相对眼角或鼻孔的位移可用于控制鼠标指针在屏幕上移动。在分辨率为640×480的视频上,取得了32帧/秒的跟踪速度,正确率达到95.5%。实验结果表明方法是有效的,可直接应用于眼控人机交互系统。
中文关键词: 无障碍技术 非侵入式眼动跟踪 虹膜定位 CamShift 算法 AdaBoost 算法
Abstract:To meet the real-time requirement of eye-controlled human-computer interaction systems, a fast and non-intrusive eye-tracking method was proposed. Firstly, CamShift algorithm and AdaBoost algorithm were combined to extract eye regions. Secondly, iris was located from the eye region in the first video frame. And the iris region was used as a template. Finally, the iris template was scaled according to new size of eye region in the subsequent video frames. Then the scaled template was used for matching in the eye region. The relative displacement between iris center and canthus or nostril can be used to control the movement of mouse pointer on computer screen. The experiments on a video of resolution at 640*480 result a tracking speed of 32 frames per second, and the correct rate is 95.5%. Results prove the effectiveness and efficiency of this method. So, this method can be directly applied to eye-controlled human-computer interaction systems.
keywords: accessible technology Non-Intrusive eye tracking iris location CamShift algorithm AdaBoost algorithm
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基金项目:国家自然科学基金(60873179,11005081);浙江省自然科学基金(Y1110322);浙江省教育厅科技项目(Y201016244);浙江省青年教师资助计划(2010);校科研启动项目(QTJ09004,QTJ09009)
引用文本：
徐洪飚,陈灵坚,吴暾华.一种快速的非侵入式眼动跟踪方法.计算机系统应用,2012,21(1):172-175
XU Hong-Biao,CHEN Ling-Jian,WU Tun-Hua.Rapid and Non-Intrusive Eye-Tracking Method.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):172-175
徐洪飚,陈灵坚,吴暾华.一种快速的非侵入式眼动跟踪方法.计算机系统应用,2012,21(1):172-175
XU Hong-Biao,CHEN Ling-Jian,WU Tun-Hua.Rapid and Non-Intrusive Eye-Tracking Method.COMPUTER SYSTEMS APPLICATIONS,2012,21(1):172-175
