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dc.contributor.author정호기-
dc.date.accessioned2018-02-06T05:18:54Z-
dc.date.available2018-02-06T05:18:54Z-
dc.date.issued2011-03-
dc.identifier.citationIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,Vol.12 No.1 [2011],254-267en_US
dc.identifier.issn1524-9050-
dc.identifier.urihttp://ieeexplore.ieee.org/document/5688323/-
dc.description.abstractThis paper presents a vision-based real-time gaze zone estimator based on a driver's head orientation composed of yaw and pitch. Generally, vision-based methods are vulnerable to the wearing of eyeglasses and image variations between day and night. The proposed method is novel in the following four ways: First, the proposed method can work under both day and night conditions and is robust to facial image variation caused by eyeglasses because it only requires simple facial features and not specific features such as eyes, lip corners, and facial contours. Second, an ellipsoidal face model is proposed instead of a cylindrical face model to exactly determine a driver's yaw. Third, we propose new features-the normalized mean and the standard deviation of the horizontal edge projection histogram-to reliably and rapidly estimate a driver's pitch. Fourth, the proposed method obtains an accurate gaze zone by using a support vector machine. Experimental results from 200 000 images showed that the root mean square errors of the estimated yaw and pitch angles are below 7 under both daylight and nighttime conditions. Equivalent results were obtained for drivers with glasses or sunglasses, and 18 gaze zones were accurately estimated using the proposed gaze estimation method.en_US
dc.description.sponsorshipThis work was supported in part by Mando Corporation Ltd. and in part by the National Research Foundation of Korea through the Biometrics Engineering Research Center, Yonsei University, under Grant R112002105070030(2010). The Associate Editor for this paper was A. Amditis.en_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USAen_US
dc.subjectDriver monitoring systemen_US
dc.subjectforward collision warning (FCW) systemen_US
dc.subjectgaze estimationen_US
dc.subjecthead orientation estimationen_US
dc.subjectprecrash systemen_US
dc.titleReal-Time Gaze Estimator Based on Driver's Head Orientation for Forward Collision Warning Systemen_US
dc.typeArticleen_US
dc.relation.no1-
dc.relation.volume12-
dc.identifier.doi10.1109/TITS.2010.2091503-
dc.relation.page254-267-
dc.relation.journalIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS-
dc.contributor.googleauthorLee, S. J.-
dc.contributor.googleauthorJo, J.-
dc.contributor.googleauthorJung, H. G.-
dc.contributor.googleauthorPark, K. R.-
dc.contributor.googleauthorKim, J.-
dc.relation.code2011214110-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF AUTOMOTIVE ENGINEERING-
dc.identifier.pidhogijung-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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