Privacy-preserving, indoor occupant localization using a network of single-pixel sensors

Abstract

We propose an approach to indoor occupant localization using a network of single-pixel, visible-light sensors. In addition to preserving privacy, our approach vastly reduces data transmission rate and is agnostic to eavesdropping. We develop two purely data-driven localization algorithms and study their performance using a network of 6 such sensors. In one… (More)
DOI: 10.1109/AVSS.2016.7738073

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Cite this paper

@article{Roeper2016PrivacypreservingIO, title={Privacy-preserving, indoor occupant localization using a network of single-pixel sensors}, author={Douglas Roeper and Jiawei Chen and Janusz Konrad and Prakash Ishwar}, journal={2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)}, year={2016}, pages={214-220} }