Rgb Color Based Occupancy Rate Detection Of İndoor Spaces [rgb Renk Tabanlı Kapalı Mekanların Doluluk Oranının Belirlenmesi]

dc.contributor.author Gilik, Ayşenur
dc.contributor.author Özmen, Atilla
dc.contributor.author Demir, Kubilay
dc.contributor.author Özmen, Atilla
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2019-06-28T11:11:21Z
dc.date.available 2019-06-28T11:11:21Z
dc.date.issued 2018
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
dc.description.abstract In this study a system has been developed to detect the human density of indoor spaces such as libraries banks shopping malls. The RGB images used in this work was obtained from the real-life space. First and second order color moments were used as feature extractor. © 2018 IEEE. en_US]
dc.identifier.citationcount 0
dc.identifier.doi 10.1109/SIU.2018.8404780 en_US
dc.identifier.endpage 4
dc.identifier.isbn 9781538615010
dc.identifier.scopus 2-s2.0-85050814833 en_US
dc.identifier.startpage 1 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/1549
dc.identifier.uri https://doi.org/10.1109/SIU.2018.8404780
dc.institutionauthor Gilik, Ayşenur en_US
dc.institutionauthor Demir, Kubilay en_US
dc.institutionauthor Özmen, Atilla en_US
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.journal 26th Signal Processing and Communications Applications Conference (SIU) en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Detection the density en_US
dc.subject Indoor space en_US
dc.subject RGB images en_US
dc.subject Statistical color moments en_US
dc.title Rgb Color Based Occupancy Rate Detection Of İndoor Spaces [rgb Renk Tabanlı Kapalı Mekanların Doluluk Oranının Belirlenmesi] en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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