基于近红外注视跟踪系统的眼部检测

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI:10.1109/ICISA.2014.6847398

Hyun-Cheol Kim, J. Cha, Won Don Lee

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引用次数: 1

摘要

利用人眼和角膜反射的特征，提出了一种用于注视跟踪系统的人眼检测方法。该方法基于瞳孔强度和外观、角膜反射强度等特征，通过分类器依次丢弃被认为不是眼睛的区域。基于经验参数的分类器设计使得该方法不需要训练过程。

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Eye Detection for near Infrared Based Gaze Tracking System

This paper presents eye detection method for gaze tracking system using the features of eye and corneal reflection. The proposed method sequentially discards the regions that are expected not to be an eye by classifiers based on the features such as pupil intensity and appearance, corneal reflection intensity, and so on. The classifiers are designed with some empirical parameters, thus the proposed method does not need training process.

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2014 International Conference on Information Science & Applications (ICISA)

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