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...

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Bibliographic Details
Published in2014 International Conference on Information Science & Applications (ICISA) pp. 1 - 3
Main Authors Hyun-Cheol Kim, Jihun Cha, Won Don Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
Broadcasting
Cameras
Face
Feature extraction
Iris
Probes
Reflection
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Summary: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.
ISBN:9781479944439
1479944432
ISSN:2162-9048
DOI:10.1109/ICISA.2014.6847398