TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Real-Time Eye Tracking Using IR Stereo Camera for Indoor and Outdoor Environments |
| 영문제목(English Title) |
Real-Time Eye Tracking Using IR Stereo Camera for Indoor and Outdoor Environments |
| 저자(Author) |
Sungsoo Lim
Daeho Lee
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| 원문수록처(Citation) |
VOL 11 NO. 08 PP. 3965 ~ 3983 (2017. 08) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
We propose a novel eye tracking method that can estimate 3D world coordinates using an infrared (IR) stereo camera for indoor and outdoor environments. This method first detects dark evidences such as eyes, eyebrows and mouths by fast multi-level thresholding. Among these evidences, eye pair evidences are detected by evidential reasoning and geometrical rules. For robust accuracy, two classifiers based on multiple layer perceptron (MLP) using gradient local binary patterns (GLBPs) verify whether the detected evidences are real eye pairs or not. Finally, the 3D world coordinates of detected eyes are calculated by region-based stereo matching. Compared with other eye detection methods, the proposed method can detect the eyes of people wearing sunglasses due to the use of the IR spectrum. Especially, when people are in dark environments such as driving at nighttime, driving in an indoor carpark, or passing through a tunnel, human eyes can be robustly detected because we use active IR illuminators. In the experimental results, it is shown that the proposed method can detect eye pairs with high performance in real-time under variable illumination conditions. Therefore, the proposed method can contribute to human-computer interactions (HCIs) and intelligent transportation systems (ITSs) applications such as gaze tracking, windshield head-up display and drowsiness detection.
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| 키워드(Keyword) |
Eye detection and tracking
multi-level thresholding
evidential reasoning
gradient local binary pattern
multiple layer perceptron
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| 파일첨부 |
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