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IRED gun: Infrared LED tracking system for game interface

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dc.contributor.authorBaek, S.-
dc.contributor.authorKim, Tae Yong-
dc.contributor.authorKim, J.-
dc.contributor.authorIm, C.-
dc.contributor.authorLim, C.-
dc.date.accessioned2022-01-03T04:40:32Z-
dc.date.available2022-01-03T04:40:32Z-
dc.date.issued2005-11-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/52842-
dc.description.abstractIn this paper, we propose an infrared LED tracking system called IRED Gun, which is designed for the game gun interface. The conventional systems are practically restricted by physical environment and have a lot of problems. We suggest the IRED Gun system to solve these problems. Unlike conventional systems, our tracking system uses three infrared LED lights attached on a monitor, and enables a user to interact with a game. In addition, our system calibrates reliable aim coordinates along the target position of a user by an error correction method based on an aim correction model. Therefore, our infrared LED tracking method allows users freely move in front of a monitor.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleIRED gun: Infrared LED tracking system for game interface-
dc.typeArticle-
dc.identifier.doi10.1007/11582267_60-
dc.identifier.bibliographicCitationADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2, v.3768, pp 688 - 699-
dc.description.isOpenAccessN-
dc.identifier.wosid000233775300060-
dc.identifier.scopusid2-s2.0-33646703300-
dc.citation.endPage699-
dc.citation.startPage688-
dc.citation.titleADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2-
dc.citation.volume3768-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/11582267_60-
dc.type.docTypeArticle; Proceedings Paper-
dc.publisher.location독일-
dc.subject.keywordPlusSEGMENTATION-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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첨단영상대학원 (영상학과)
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