一种新的单点标定视线估计方法

熊春水; 黄磊; 刘昌平

doi:10.3724/SP.J.1004.2014.00459

一种新的单点标定视线估计方法

doi: 10.3724/SP.J.1004.2014.00459

熊春水^1,2, ,,
黄磊¹,
刘昌平¹

1.
中国科学院自动化研究所文字识别工程中心北京 100190;
2.
中国科学院大学北京 100049

详细信息

作者简介:
黄磊中国科学院自动化研究所副研究员. 主要研究方向为文字识别, 人脸识别, 智能监控.E-mail：lei.huang@mail.ia.ac.cn

通讯作者:
熊春水

计量
- 文章访问数: 1977
- HTML全文浏览量: 102
- PDF下载量: 1572
- 被引次数: 0
出版历程
- 收稿日期: 2012-09-20
- 修回日期: 2013-03-15
- 刊出日期: 2014-03-20

A Novel Gaze Estimation Method with One-point Calibration

1.
Character Recognition Engineering Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190;
2.
University of Chinese Academy of Sciences, Beijing 100049

摘要

摘要: 在单相机单光源条件下，针对现有视线估计方法标定过程复杂的问题，提出一种新的单点标定视线估计方法. 该方法预先建立屏幕中多个点的视线估计统计模型，进而通过插值估计用户在屏幕中的视点. 主要创新工作有：1）提出一种基于统计的单点标定视线估计模型，降低了标定过程的复杂度；2）采用增量学习方法进一步更新模型，提高模型对不同用户以及头部运动的适应性. 实验证明，本文方法在设备简单、允许头部运动的前提下，只需单点标定就能够取得较高精度.
- 视线估计 /
- 瞳孔定位 /
- 混合高斯模型 /
- 增量学习 /
- 人机交互
Abstract: To solve the problem that the calibration procedures in most current gaze estimation methods are tedious when only a single camera and single light source are used, we propose a novel gaze estimation method with one-point calibration. In our approach, statistical models of multiple points on the screen are built in advance and an interpolation-based method is used to estimate the point of regard (PoR) of the user on the screen. The main contributions of this paper are: 1) we propose a novel one-point calibration gaze estimation model based on statistical method, which reduces the complexity of the calibration procedure; 2) incremental learning method is used to update the model, which could improve the adaptability of different users and head movements. The experimental results show that the proposed method is effective for different users with different head movements.
- Gaze estimation /
- pupil location /
- Gaussian mixture model (GMM) /
- incremental learning /
- human-computer interaction

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参考文献(31)

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