Improvement of Privacy Prevented Person Tracking System using Artificial Fiber Pattern

Hiroki Urakawa, Kitahiro Kaneda, Keiichi Iwamura

2022

Abstract

Owing to the low equipment cost, the number of surveillance cameras installed has increased significantly; however, most of them are not being used effectively. These cameras can be used for various purposes, such as marketing, if behavior tracking is possible from the obtained images. Previously, we proposed a method of tracking by embedding information in “Artificial Fiber Pattern.” However, the body shape of the wearer and wrinkles of the clothes affect the accuracy of the results. To overcome this drawback, in this study, we combined PIFu HD, a technology that generates a full three-dimensional model from a single image of a person, with the modeling and calculation of the body shape of the subject to verify the conditions under which the body shape of the wearer and wrinkles in the clothes affect the accuracy. Consequently, we achieved precision improvement by removing data that met unsuitable conditions.

Paper Citation

in Harvard Style

Urakawa H., Kaneda K. and Iwamura K. (2022). Improvement of Privacy Prevented Person Tracking System using Artificial Fiber Pattern. In Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, ISBN 978-989-758-591-3, pages 78-85. DOI: 10.5220/0011315400003289

in Bibtex Style

@conference{sigmap22,
author={Hiroki Urakawa and Kitahiro Kaneda and Keiichi Iwamura},
title={Improvement of Privacy Prevented Person Tracking System using Artificial Fiber Pattern},
booktitle={Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,},
year={2022},
pages={78-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011315400003289},
isbn={978-989-758-591-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,
TI - Improvement of Privacy Prevented Person Tracking System using Artificial Fiber Pattern
SN - 978-989-758-591-3
AU - Urakawa H.
AU - Kaneda K.
AU - Iwamura K.
PY - 2022
SP - 78
EP - 85
DO - 10.5220/0011315400003289