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dc.contributor.authorGyeore Lee-
dc.contributor.authorLim Yoonseob-
dc.contributor.authorJongSuk Choi-
dc.date.accessioned2024-01-12T06:11:43Z-
dc.date.available2024-01-12T06:11:43Z-
dc.date.created2021-09-29-
dc.date.issued2018-06-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/79413-
dc.languageEnglish-
dc.publisherKROS-
dc.subjectHuman Tracking-
dc.subjectInformation fusion-
dc.subjectMulticamera association-
dc.subjectKalman filter-
dc.titleKalman Filter Based Multiple Human Tracking Method in Auto aligned Multi-Camera Environment-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitation2018 15th International Conference on Ubiquitous Robots (UR)-
dc.citation.title2018 15th International Conference on Ubiquitous Robots (UR)-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceHonolulu, Hawaii-
dc.citation.conferenceDate2018-06-26-
dc.relation.isPartOf2018 15th International Conference on Ubiquitous Robots (UR)-
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KIST Conference Paper > 2018
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