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dc.contributor.author전창호-
dc.date.accessioned2019-05-20T02:32:36Z-
dc.date.available2019-05-20T02:32:36Z-
dc.date.issued2008-06-
dc.identifier.citation대한전자공학회 2008년 하계종합학술대회, Page. 619-620en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE01017176-
dc.identifier.urihttp://repository.hanyang.ac.kr/handle/20.500.11754/104658-
dc.description.abstractIn this paper, we propose a new hand gesture recognition scheme using hand poses captured from a web camera. The key idea of this scheme is to extract skin color from the background-subtracted image. To extract skin color, in the first phase, we subtract background by repeatedly comparing the stored initial frame with next frames. And then we eliminate noise using dynamic table. In the second phase, we exactly recognize hand gesture by extracting skin color from YCbCr color region.en_US
dc.language.isoko_KRen_US
dc.publisher대한전자공학회en_US
dc.title웹캠을 이용한 손동작 인식 방법en_US
dc.title.alternativeA Hand Gesture Recognition Scheme using WebCAMen_US
dc.typeArticleen_US
dc.contributor.googleauthor김건우-
dc.contributor.googleauthor이원주-
dc.contributor.googleauthor전창호-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidchj5193-
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COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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