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
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;
Conference_Titel :
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-4443-9
DOI :
10.1109/ICISA.2014.6847398
