DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박현우 | - |
dc.contributor.author | 장태영 | - |
dc.contributor.author | 강성현 | - |
dc.contributor.author | 김성대 | - |
dc.date.accessioned | 2016-07-07T05:10:03Z | - |
dc.date.available | 2016-07-07T05:10:03Z | - |
dc.date.created | 2016-06-26 | - |
dc.date.issued | 2016-06-23 | - |
dc.identifier.citation | 2016년도 대한전자공학회 하계학술대회 | - |
dc.identifier.uri | http://hdl.handle.net/10203/209768 | - |
dc.description.abstract | There are many researches for head detection and tracking. Most of them are based on RGB images or RGB-D images. However, RGB based methods are sensitive to skin color and lightness. And RGB-D based approaches have a problem of calibration. Also for head tracking, a problem of occlusion by hands should be solved necessarily. To this end, we propose a depth-based head detection and tracking method. Also, using sub-block matching method we solve the problem of occlusion by hand. | - |
dc.language | Korean | - |
dc.publisher | 대한전자공학회 | - |
dc.title | 서브 블록 매칭을 이용한 깊이 영상 기반 머리 탐지 및 추적 기법 | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | 2016년도 대한전자공학회 하계학술대회 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 대한민국, 제주도 | - |
dc.contributor.localauthor | 박현우 | - |
dc.contributor.localauthor | 장태영 | - |
dc.contributor.localauthor | 강성현 | - |
dc.contributor.localauthor | 김성대 | - |
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