RGB Color Based Occupancy Rate Detection of Indoor Spaces
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Date
2018
Authors
Demir, Kubilay
Özmen, Atilla
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IEEE
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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.
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Keywords
RGB images, Detection the density, Indoor space, Statistical color moments
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2018 26th Signal Processing and Communications Applications Conference (SIU)