Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박종일 | - |
dc.date.accessioned | 2018-04-03T01:16:42Z | - |
dc.date.available | 2018-04-03T01:16:42Z | - |
dc.date.issued | 2014-05 | - |
dc.identifier.citation | 2014년도 대한전자공학회 하계종합학술대회, 2014, 2014(6), P.1945-1947 | en_US |
dc.identifier.uri | http://www.dbpia.co.kr/Article/NODE02439059 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/55507 | - |
dc.description.abstract | In this paper, we propose an efficient tabletop human-object interaction system by categorizing depth information. This system uses three layers to apply proper algorithms respectively. Background layer is the trained background environment model which is initialized at the beginning. The static layer is used to store steady objects which is registered for interaction subject. And the dynamic layer handles moving objects which in this case is hand. In each layer, a proper algorithm can be applied separately without interference. The system will show how effective this approach works. | en_US |
dc.description.sponsorship | 이 논문은 2013년 미래창조과학부의 재원으로 SW융합기술고도화 사업의 지원을 받아 수행된 연구입니다(S1002-13-1005). | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 대한전자공학회 / THE INSTITUTE OF ELECTRONICS ENGINEERS OF KOREA | en_US |
dc.title | Tabletop Human-Object Interaction using Depth Layering | en_US |
dc.title.alternative | 깊이 영상 분류 기법을 이용한 테이블탑 상호작용 시스템 | en_US |
dc.type | Article | en_US |
dc.relation.page | 1-3 | - |
dc.contributor.googleauthor | 백용환 | - |
dc.contributor.googleauthor | 최준영 | - |
dc.contributor.googleauthor | 박한훈 | - |
dc.contributor.googleauthor | 박종일 | - |
dc.contributor.googleauthor | Baek, Yong-Hwan | - |
dc.contributor.googleauthor | Choi, Junyeong | - |
dc.contributor.googleauthor | Park, Hanhoon | - |
dc.contributor.googleauthor | Park, Jong-Il | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE | - |
dc.identifier.pid | jipark | - |
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