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Color spaces and histogram distances influence on people re-identification in video stream

dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorLaptik, Raimond
dc.date.accessioned2025-11-24T09:48:43Z
dc.date.available2025-11-24T09:48:43Z
dc.date.issued2015
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159430
dc.description.abstractThe influence of color spaces and histogram distances on object re-identification in video stream is investigated. Dataset with images of pedestrians is being analyzed. A set of color spaces, histograms types and distance functions is applied to minimize re-identification errors by calculating false acceptance and false rejection error rates.en_US
dc.format.extent4 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159386en_US
dc.source.urihttps://ieeexplore.ieee.org/document/7119489/references#referencesen_US
dc.subjectcolor spaceen_US
dc.subjecthistogramen_US
dc.subjectdistance functionen_US
dc.subjectre-identificationen_US
dc.subjecttrackingen_US
dc.titleColor spaces and histogram distances influence on people re-identification in video streamen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2015-06-08
dcterms.references8en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.departmentElektroninių sistemų katedra / Department of Electronic Systemsen_US
dcterms.sourcetitle2015 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2015, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9781467374453en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.identifier.doihttps://doi.org/10.1109/eStream.2015.7119489en_US


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