科研成果详情

题名Eye Gaze Tracking with a Web Camera in a Desktop Environment
作者
发表日期2015-08-01
发表期刊IEEE Transactions on Human-Machine Systems
ISSN/eISSN2168-2291
卷号45期号:4页码:419-430
摘要This paper addresses the eye gaze tracking problem using a low cost and more convenient web camera in a desktop environment, as opposed to gaze tracking techniques requiring specific hardware, e.g., infrared high-resolution camera and infrared light sources, as well as a cumbersome calibration process. In the proposed method, we first track the human face in a real-time video sequence to extract the eye regions. Then, we combine intensity energy and edge strength to obtain the iris center and utilize the piecewise eye corner detector to detect the eye corner. We adopt a sinusoidal head model to simulate the 3-D head shape, and propose an adaptive weighted facial features embedded in the pose from the orthography and scaling with iterations algorithm, whereby the head pose can be estimated. Finally, the eye gaze tracking is accomplished by integration of the eye vector and the head movement information. Experiments are performed to estimate the eye movement and head pose on the BioID dataset and pose dataset, respectively. In addition, experiments for gaze tracking are performed in real-time video sequences under a desktop environment. The proposed method is not sensitive to the light conditions. Experimental results show that our method achieves an average accuracy of around 1.28° without head movement and 2.27° with minor movement of the head.
关键词Desktop environment gaze tracking head pose illumination change web camera
DOI10.1109/THMS.2015.2400442
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语种英语English
Scopus入藏号2-s2.0-85027921902
引用统计
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6446
专题北师香港浸会大学
作者单位
1.Department of Computer Science,Hong Kong Baptist University,Hong Kong,Hong Kong
2.United International College,Zhuhai,519085,China
3.HKBU Institute of Research and Continuing Education,Shenzhen,China
第一作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Cheung,Yiu Ming,Peng,Qinmu. Eye Gaze Tracking with a Web Camera in a Desktop Environment[J]. IEEE Transactions on Human-Machine Systems, 2015, 45(4): 419-430.
APA Cheung,Yiu Ming, & Peng,Qinmu. (2015). Eye Gaze Tracking with a Web Camera in a Desktop Environment. IEEE Transactions on Human-Machine Systems, 45(4), 419-430.
MLA Cheung,Yiu Ming,et al."Eye Gaze Tracking with a Web Camera in a Desktop Environment". IEEE Transactions on Human-Machine Systems 45.4(2015): 419-430.
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