Reduction in Communication via Image Selection for Homomorphic Encryption-based Privacy-protected Person Re-identification

Shogo Fukuda, Masashi Nishiyama, Yoshio Iwai

2021

Abstract

We propose a method for reducing the amount of communication by selecting pedestrian images for privacy-protected person re-identification. Recently, it has become necessary to pay attention to how features corresponding to personal information can be protected. Owing to homomorphic encryption, which enables a distance between features to be computed without decryption, our method can use a cloud server on a public network while protecting personal information. However, we must consider the problem of the large amount of communication that occurs between camera clients and the server when homomorphic encryption is used. Our method aims to reduce the amount of this communication by selecting appropriate pedestrian images using reference leg postures. In our experiment, we confirmed that the amount of communication dynamically reduces without significant degradation in the accuracy of privacy-protected person re-identification with homomorphic encryption.

Paper Citation

in Harvard Style

Fukuda S., Nishiyama M. and Iwai Y. (2021). Reduction in Communication via Image Selection for Homomorphic Encryption-based Privacy-protected Person Re-identification. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 36-47. DOI: 10.5220/0010190000360047

in Bibtex Style

@conference{visapp21,
author={Shogo Fukuda and Masashi Nishiyama and Yoshio Iwai},
title={Reduction in Communication via Image Selection for Homomorphic Encryption-based Privacy-protected Person Re-identification},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP},
year={2021},
pages={36-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010190000360047},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP
TI - Reduction in Communication via Image Selection for Homomorphic Encryption-based Privacy-protected Person Re-identification
SN - 978-989-758-488-6
AU - Fukuda S.
AU - Nishiyama M.
AU - Iwai Y.
PY - 2021
SP - 36
EP - 47
DO - 10.5220/0010190000360047
PB - SciTePress