@inproceedings{7939048, author = {{Munir}, S. and {Arora}, R. S. and {Hesling}, C. and {Li}, J. and {Francis}, J. and {Shelton}, C. and {Martin}, C. and {Rowe}, A. and {Berges}, M.}, 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 = apr }