DocumentCode
169679
Title
Eye Detection for near Infrared Based Gaze Tracking System
Author
Hyun-Cheol Kim ; Jihun Cha ; Won Don Lee
Author_Institution
Realistic Broadcasting Media Res. Dept., ETRI, Daejeon, South Korea
fYear
2014
fDate
6-9 May 2014
Firstpage
1
Lastpage
3
Abstract
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.
Keywords
eye; feature extraction; gaze tracking; image classification; infrared imaging; object detection; corneal reflection intensity; eye detection method; eye features; image classification; near infrared based gaze tracking system; pupil appearance; pupil intensity; Broadcasting; Cameras; Face; Feature extraction; Iris; Probes; Reflection;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4799-4443-9
Type
conf
DOI
10.1109/ICISA.2014.6847398
Filename
6847398
Link To Document