Privacy-Aware Edge Computing System For People Tracking
Published in 2020 IEEE International Conference on Image Processing (ICIP), 2020
The paper studies the practical implementation of a distributed computer vision system for people tracking. A particular focus is on improved data privacy when compared to the traditional surveillance approaches. This is achieved by extracting a feature vector from each detected person by a neural network in real-time in the edge device and transmitting only the feature vector to the cloud, eliminating privacy-sensitive image data transmission and storage.
Cite this article as:
@INPROCEEDINGS{9191260,
author={Yrjänäinen, Jukka and Ni, Xingyang and Adhikari, Bishwo and Huttunen, Heikki},
booktitle={2020 IEEE International Conference on Image Processing (ICIP)},
title={Privacy-Aware Edge Computing System For People Tracking},
year={2020},
pages={2096-2100},
doi={10.1109/ICIP40778.2020.9191260}}