서브 블록 매칭을 이용한 깊이 영상 기반 머리 탐지 및 추적 기법

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dc.contributor.author박현우-
dc.contributor.author장태영-
dc.contributor.author강성현-
dc.contributor.author김성대-
dc.date.accessioned2016-07-07T05:10:03Z-
dc.date.available2016-07-07T05:10:03Z-
dc.date.created2016-06-26-
dc.date.issued2016-06-23-
dc.identifier.citation2016년도 대한전자공학회 하계학술대회-
dc.identifier.urihttp://hdl.handle.net/10203/209768-
dc.description.abstractThere 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.languageKorean-
dc.publisher대한전자공학회-
dc.title서브 블록 매칭을 이용한 깊이 영상 기반 머리 탐지 및 추적 기법-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2016년도 대한전자공학회 하계학술대회-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocation대한민국, 제주도-
dc.contributor.localauthor박현우-
dc.contributor.localauthor장태영-
dc.contributor.localauthor강성현-
dc.contributor.localauthor김성대-
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EE-Conference Papers(학술회의논문)
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