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
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ISSN/eISSN | 2168-2291 |
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 |
DOI | 10.1109/THMS.2015.2400442 |
URL | 查看来源 |
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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