RGB Color Based Occupancy Rate Detection of Indoor Spaces

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dc.contributor.authorGilik, Ayşenur
dc.contributor.authorDemir, Kubilay
dc.contributor.authorÖzmen, Atilla
dc.date.accessioned2020-12-20T19:56:09Z
dc.date.available2020-12-20T19:56:09Z
dc.date.issued2018
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn 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.citation0
dc.identifier.issn2165-0608en_US
dc.identifier.issn2165-0608
dc.identifier.issue2018 26th Signal Processing and Communications Applications Conference (SIU)en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3614
dc.identifier.wosWOS:000511448500633en_US
dc.identifier.wosqualityN/A
dc.institutionauthorGilik, Ayşenuren_US
dc.institutionauthorDemir, Kubilayen_US
dc.institutionauthorÖzmen, Atillaen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.journal2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRGB imagesen_US
dc.subjectDetection the densityen_US
dc.subjectIndoor spaceen_US
dc.subjectStatistical color momentsen_US
dc.titleRGB Color Based Occupancy Rate Detection of Indoor Spacesen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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