RGB Color Based Occupancy Rate Detection of Indoor Spaces

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Date
2018
Author
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.

Source

2018

Issue

2018 26th Signal Processing and Communications Applications Conference (SIU)

URI

https://hdl.handle.net/20.500.12469/3614

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Keywords

RGB images
Detection the density
Indoor space
Statistical color moments

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