@inproceedings{20281c25da384d75970070e32029f206,
title = "Real-time gaze estimation using monocular vision",
abstract = "Improving the accuracy of gaze estimation and the tolerance of head motion is a common task in the field of gaze estimation. The core problem of gaze estimation is how to accurately build up the mapping relationship between image features and gaze position. To this end, we propose a method to reconstruct input features in the optimized subset as the key to our solution. The HOG feature is considered as the input feature. First, we found the closest calibration point to gaze position and constituted the optimized subset. Then, we get a set of weights that can linear reconstruct test samples in the optimized subset. And this set of weights is used to express the mapping relationship. At last, a linear equation is fitted to solve head motion problem. In this paper, the experiment results demonstrate that our system can achieve high accuracy gaze estimation with one camera.",
keywords = "Feature reconstruction, Gaze estimation, Head move compensation, Optimized subset",
author = "Zhizhi Guo and Qianxiang Zhou and Zhongqi Liu and Xin Zhang and Zhaofang Xu and Yan Lv",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",
year = "2016",
doi = "10.1007/978-3-319-39516-6\_6",
language = "英语",
isbn = "9783319395159",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "61--70",
editor = "Masaaki Kurosu",
booktitle = "Human-Computer Interaction",
address = "德国",
}