Privacy Protecting, Real-time Face Re-recognition
Loading...
Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a novel system for recognizing human individuals walking past a depth camera that is compatible with privacy protecting laws. The system is developed to support the statistical analysis of movement patterns in indoor spaces. The system is able to re-recognize previously seen individuals but is also capable of recognizing that an individual has not been seen before. The system is designed in a privacy protecting way and does not rely on previously collected training data but rather collects data during run-time. The proposed system processes each image of an individual separately, but we also present a new approach that is based on combining several decisions into a single meta-decision in order to enhance classification performance.
Description
@inproceedings{10.2312:egp.20151034,
booktitle = {EG 2015 - Posters},
editor = {B. Solenthaler and E. Puppo},
title = {{Privacy Protecting, Real-time Face Re-recognition}},
author = {Niederberger, Thomas and Hegner, Robert and Hartmann, Andreas and Schuster, Guido M.},
year = {2015},
publisher = {The Eurographics Association},
ISBN = {},
DOI = {10.2312/egp.20151034}
}