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라인 프로파일을 이용한 템플릿 매칭 기반의 운전자 눈 깜박임 검출 방법

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dc.contributor.author김영재-
dc.contributor.author신승섭-
dc.contributor.author김광기-
dc.date.available2020-02-27T21:42:30Z-
dc.date.created2020-02-12-
dc.date.issued2017-08-
dc.identifier.issn1229-7771-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/7007-
dc.description.abstractPrevention of drowsy driving is one of the important issues for safe driving. In this study, the algorithm for detection of drowsy driving has been developed. The algorithm was implemented by applying template matching and line profile, which detects eye blink. The accuracy of eye detection and blink detection was 97.45±3.67% and 98.50±0.92%, which was resulted from the verification experiment that 21 subjects participated. Consequently, the algorithm is expected to be used to prevent sleep-deprived driving.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국멀티미디어학회-
dc.relation.isPartOf멀티미디어학회논문지-
dc.title라인 프로파일을 이용한 템플릿 매칭 기반의 운전자 눈 깜박임 검출 방법-
dc.title.alternativeDriver’s Eye Blinking Detection Method based on Template Matching using Line Profile-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass2-
dc.identifier.doi10.9717/kmms.2017.20.6.873-
dc.identifier.bibliographicCitation멀티미디어학회논문지, v.20, no.6, pp.873 - 881-
dc.identifier.kciidART002233256-
dc.description.isOpenAccessN-
dc.citation.endPage881-
dc.citation.startPage873-
dc.citation.title멀티미디어학회논문지-
dc.citation.volume20-
dc.citation.number6-
dc.contributor.affiliatedAuthor김영재-
dc.contributor.affiliatedAuthor김광기-
dc.subject.keywordAuthorBlink Detection-
dc.subject.keywordAuthorEye Detection-
dc.subject.keywordAuthorInfrared Image-
dc.subject.keywordAuthorTemplate Matching-
dc.subject.keywordAuthorLine Profile-
dc.description.journalRegisteredClasskci-
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보건과학대학 > 의용생체공학과 > 1. Journal Articles

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