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dc.contributor.authorGilik, Ayşenur
dc.contributor.authorDemir, Kubilay
dc.contributor.authorÖzmen, Atilla
dc.date.accessioned2019-06-28T11:11:21Z
dc.date.available2019-06-28T11:11:21Z
dc.date.issued2018
dc.identifier.isbn9781538615010
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1549
dc.identifier.urihttps://doi.org/10.1109/SIU.2018.8404780
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. © 2018 IEEE.
dc.language.isoTurkish
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectDetection the density
dc.subjectIndoor space
dc.subjectRGB images
dc.subjectStatistical color moments
dc.titleRGB color based occupancy rate detection of indoor spaces [RGB renk tabanlı kapalı mekanların doluluk oranının belirlenmesi]
dc.typeConference Paper
dc.identifier.startpage1
dc.identifier.endpage4
dc.relation.journal26th Signal Processing and Communications Applications Conference (SIU)
dc.identifier.doi10.1109/SIU.2018.8404780
dc.contributor.khasauthorGilik, Ayşenur
dc.contributor.khasauthorDemir, Kubilay
dc.contributor.khasauthorÖzmen, Atilla


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