Rgb Color Based Occupancy Rate Detection of Indoor Spaces
| gdc.relation.journal | 2018 | en_US |
| dc.contributor.author | Gilik, Ayşenur | |
| dc.contributor.author | Demir, Kubilay | |
| dc.contributor.author | Özmen, Atilla | |
| dc.date.accessioned | 2020-12-20T19:56:09Z | |
| dc.date.available | 2020-12-20T19:56:09Z | |
| 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. | en_US |
| dc.identifier.citationcount | 0 | |
| dc.identifier.issn | 2165-0608 | en_US |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/3614 | |
| dc.language.iso | tr | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | RGB images | en_US |
| dc.subject | Detection the density | en_US |
| dc.subject | Indoor space | en_US |
| dc.subject | Statistical color moments | en_US |
| dc.title | Rgb Color Based Occupancy Rate Detection of Indoor Spaces | 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 |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| gdc.description.issue | 2018 26th Signal Processing and Communications Applications Conference (SIU) | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.identifier.wos | WOS:000511448500633 | en_US |
| gdc.wos.citedcount | 0 | |
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