@INPROCEEDINGS{7939048,
author={S. {Munir} and R. S. {Arora} and C. {Hesling} and J. {Li} and J. {Francis} and C. {Shelton} and C. {Martin} and A. {Rowe} and M. {Berges}},
booktitle={2017 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)},
title={Real-Time Fine Grained Occupancy Estimation Using Depth Sensors on ARM Embedded Platforms},
year={2017},
volume={},
number={},
pages={295-306},
keywords={computer vision;embedded systems;image sensors;microprocessor chips;occupancy estimation;depth sensors;ARM embedded platforms;human detection;gesture recognition;computer vision algorithms;ARM processors;lightweight model based approach;FORK;Estimation;Head;Real-time systems;Buildings;Thermal sensors;Cameras;Occupancy Estimation;People Counting},
doi={10.1109/RTAS.2017.8},
pdf={http://users.ece.cmu.edu/\%7Eagr/resources/publications/RTAS-FORK-17.pdf},
ISSN={},
month={April},}