RGB Color Based Occupancy Rate Detection of Indoor Spaces
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Date
2018
Authors
Gilik, Ayşenur
Demir, Kubilay
Özmen, Atilla
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
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.
Description
Keywords
RGB images, Detection the density, Indoor space, Statistical color moments
Turkish CoHE Thesis Center URL
Citation
0
WoS Q
N/A
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N/A
Source
Volume
Issue
2018 26th Signal Processing and Communications Applications Conference (SIU)