Real-time Non-Intrusive Eye Tracking for Human-Computer Interaction

摘要：

A real-time eye tracking method was introduced. The method integrates several algorithms such as AdaBoost, optical flow, and Camshift. First, lighting condition was standardized, and the camera was placed below face. Second, the nostril tracking points were localized and taken as reference points. Third, the Camshift algorithm and Lucas-Kanade optical flow algorithm were respectively utilized to track the face and nostrils, and the pupils were positioned using gradient Hough circle transform. Finally, with the coordinates of nostrils and pupils, the velocity and trajectory of eye movement were calculated. The experiments on a video of resolution at 640*480 result a tracking speed of 25 frames per second. Results prove the effectiveness and efficiency of this method.

关键词： eye tracking:AdaBoost:optical flow:Camshift HCI

作者: Wu Tunhua Bai Baogang Zhou Changle Li Shaozi Lin Kunhui

作者单位: School of Information & Engineering Wenzhou Medical College Wenzhou,China School of Information Science & Technology Xiamen University Xiamen,China Software School Xiamen University Xiamen,China

会议类型: 国际会议

会议名称: The 5th International Conference on Computer Science & Education(第五届国际计算机新技术与教育学术研讨会 ICCSE10)

会议地点: 合肥

会议语种:英文

页码: 1673-1677

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）