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학술대회 Eye Detection for near Infrared Based Gaze Tracking System
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저자
김현철, 차지훈, 이원돈
발행일
201405
출처
International Conference on Information Science and Applications (ICISA) 2014, pp.1-3
DOI
https://dx.doi.org/10.1109/ICISA.2014.6847398
협약과제
14MR9400, (통합)방송용 영상 인식 기반 객체 중심 지식 융합 미디어 서비스 플랫폼 개발, 조기성
초록
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. © 2014 IEEE.
KSP 제안 키워드
Detection Method, Empirical parameters, Gaze tracking system, Near-Infrared(NIR), Reflection intensity, corneal reflection, eye detection, training process