Gilik, AyşenurDemir, KubilayÖzmen, Atilla2020-12-202020-12-20201802165-06082165-0608https://hdl.handle.net/20.500.12469/3614In 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.trinfo:eu-repo/semantics/closedAccessRGB imagesDetection the densityIndoor spaceStatistical color momentsConference Object2018 26th Signal Processing and Communications Applications Conference (SIU)WOS:000511448500633N/AN/A