Rgb Color Based Occupancy Rate Detection Of İndoor Spaces [rgb Renk Tabanlı Kapalı Mekanların Doluluk Oranının Belirlenmesi]
| gdc.relation.journal | 26th Signal Processing and Communications Applications Conference (SIU) | en_US |
| dc.contributor.author | Gilik, Ayşenur | |
| dc.contributor.author | Demir, Kubilay | |
| dc.contributor.author | Özmen, Atilla | |
| dc.contributor.other | Electrical-Electronics Engineering | |
| dc.contributor.other | 05. Faculty of Engineering and Natural Sciences | |
| dc.contributor.other | 01. Kadir Has University | |
| dc.date.accessioned | 2019-06-28T11:11:21Z | |
| dc.date.available | 2019-06-28T11:11:21Z | |
| dc.date.issued | 2018 | |
| 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.isbn | 9781538615010 | |
| dc.identifier.scopus | 2-s2.0-85050814833 | 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.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2018 26th Signal Processing and Communications Applications Conference (SIU) | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| 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 | |
| gdc.author.institutional | Gilik, Ayşenur | en_US |
| gdc.author.institutional | Özmen, Atilla | |
| gdc.author.institutional | Özmen, Atilla | en_US |
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| gdc.description.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1 | en_US |
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| gdc.oaire.keywords | RGB images | |
| gdc.oaire.keywords | Detection the density | |
| gdc.oaire.keywords | Indoor space | |
| gdc.oaire.keywords | Statistical color moments | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
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