Eye-gaze Detection by Image Analysis under Natural Light
Eye-gaze Detection by Image Analysis under Natural Light
复制标题
自然光下通过图像分析进行眼睛注视检测
DOI：
10.1007/978-3-642-21605-3_20
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
M. Ohyama
中科院分区：
文献类型：
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作者：
Kiyohiko Abe;S. Ohi;M. Ohyama
我们已经为肌萎缩侧索硬化症(ALS)等严重肢体残疾的人开发了一种眼睛凝视输入系统。该系统利用个人计算机和家庭摄像机来检测自然光下的眼睛凝视。我们实用的眼睛凝视输入系统能够高精度地对用户的水平眼睛凝视进行分类。然而，它只能检测垂直眼睛的三个方向-凝视。如果提高垂直方向的检测分辨率，屏幕上将显示更多指示器。为了提高垂直视线检测的分辨率，我们采用了一种边缘跟踪法，这也是用于水平视线检测的传统方法。在本文中，我们提出了一种利用边缘跟踪方法进行图像分析的眼睛凝视检测方法。我们还报告了我们的新方法的实验结果。
We have developed an eye-gaze input system for people with severe physical disabilities, such as amyotrophic lateral sclerosis (ALS). The system utilizes a personal computer and a home video camera to detect eye-gaze under natural light. Our practical eye-gaze input system is capable of classifying the horizontal eye-gaze of users with a high degree of accuracy. However, it can only detect three directions of vertical eye-gaze. If the detection resolution in the vertical direction is increased, more indicators will be displayed on the screen. To increase the resolution of vertical eye-gaze detection, we apply a limbus tracking method, which is also the conventional method used for horizontal eye-gaze detection. In this paper, we present a new eye-gaze detection method by image analysis using the limbus tracking method. We also report the experimental results of our new method.