Human-of-interest tracking by integrating two heterogeneous vision sensors
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Uhm, Taeyoung | - |
dc.contributor.author | Park, Hanhoon | - |
dc.contributor.author | Seo, Dongkyun | - |
dc.contributor.author | ParPark, Jong-Il | - |
dc.date.accessioned | 2022-12-20T18:10:54Z | - |
dc.date.available | 2022-12-20T18:10:54Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2010-04 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/175142 | - |
dc.description.abstract | Human, especially human-of-interest, detection and tracking is a necessary part for immersive and realistic human-computer interaction. Thus, we propose an intelligent multi-vision-based human detection and tracking system that consists of a visible camera, an infrared camera, a dynamic infrared lighting system, and a cold mirror. The system segments a human region of interest and tracks his/her motion. Experimental results are given for verifying the usefulness of the proposed method. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Human-of-interest tracking by integrating two heterogeneous vision sensors | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | ParPark, Jong-Il | - |
dc.identifier.doi | 10.1109/VR.2010.5444750 | - |
dc.identifier.scopusid | 2-s2.0-77952725793 | - |
dc.identifier.bibliographicCitation | Proceedings - IEEE Virtual Reality, pp.309 - 310 | - |
dc.relation.isPartOf | Proceedings - IEEE Virtual Reality | - |
dc.citation.title | Proceedings - IEEE Virtual Reality | - |
dc.citation.startPage | 309 | - |
dc.citation.endPage | 310 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Human information processing | - |
dc.subject.keywordPlus | Human-of-interest tracking | - |
dc.subject.keywordPlus | Infrared intensity | - |
dc.subject.keywordPlus | Infrared intensity tracking | - |
dc.subject.keywordPlus | Intelligent sensing | - |
dc.subject.keywordPlus | Thresholding | - |
dc.subject.keywordPlus | Vision and scene understanding | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Bionics | - |
dc.subject.keywordPlus | Cameras | - |
dc.subject.keywordPlus | Data processing | - |
dc.subject.keywordPlus | Information systems | - |
dc.subject.keywordPlus | Knowledge management | - |
dc.subject.keywordPlus | Photometers | - |
dc.subject.keywordPlus | Photometry | - |
dc.subject.keywordPlus | Virtual reality | - |
dc.subject.keywordPlus | Human computer interaction | - |
dc.subject.keywordAuthor | H.1.2 [information systems]: user/machine systems - human information processing | - |
dc.subject.keywordAuthor | Human-of-interest tracking | - |
dc.subject.keywordAuthor | I.2.10 [artificial intelligence]: vision and scene understanding- intensity, color, photometry, and thresholding | - |
dc.subject.keywordAuthor | Infrared intensity tracking | - |
dc.subject.keywordAuthor | Intelligent sensing | - |
dc.subject.keywordAuthor | Multi-vision-based human racking | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/5444750 | - |
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