| dc.contributor.author | Gilik, Ayşenur | |
| dc.contributor.author | Demir, Kubilay | |
| dc.contributor.author | Özmen, Atilla | |
| dc.date.accessioned | 2019-06-28T11:11:21Z | |
| dc.date.available | 2019-06-28T11:11:21Z | |
| dc.date.issued | 2018 | |
| dc.identifier.isbn | 9781538615010 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/1549 | |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2018.8404780 | |
| 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.language.iso | tur | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| 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 indoor spaces [RGB renk tabanlı kapalı mekanların doluluk oranının belirlenmesi] | en_US |
| dc.type | conferenceObject | en_US |
| dc.identifier.startpage | 1 | en_US |
| dc.identifier.endpage | 4 | |
| dc.relation.journal | 26th Signal Processing and Communications Applications Conference (SIU) | en_US |
| dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| dc.identifier.doi | 10.1109/SIU.2018.8404780 | en_US |
| dc.identifier.scopus | 2-s2.0-85050814833 | en_US |
| dc.institutionauthor | Gilik, Ayşenur | en_US |
| dc.institutionauthor | Demir, Kubilay | en_US |
| dc.institutionauthor | Özmen, Atilla | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
