Boosting Re-identification in the Ultra-running Scenario

Miguel Medina, Javier Lorenzo-Navarro, David Freire-Obregón, Oliverio Santana, Daniel Hernández-Sosa, Modesto Santana

2022

Abstract

In the context of ultra-running (longer than a marathon distance), whole-body based re-identification (ReId) state of the art approaches have reported moderated success due to the challenging unrestricted characteristics of the long-term scenario, as very different illuminations, accessories (backpacks, caps, sunglasses), and/or changes of clothes are present. In this paper, we explore the integration of two elements in the ReId process: 1) an additional biometric cue such as the face, and 2) the particular spatio-temporal context information present in these competitions. Preliminary results confirm the limited relevance of the facial cue in the (not high resolution) ReId scenario and the great benefits of the contextual information to reduce the gallery size and consequently improve the overall ReId performance.

Paper Citation

in Harvard Style

Medina M., Lorenzo-Navarro J., Freire-Obregón D., Santana O., Hernández-Sosa D. and Santana M. (2022). Boosting Re-identification in the Ultra-running Scenario. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-549-4, pages 461-469. DOI: 10.5220/0010904600003122

in Bibtex Style

@conference{icpram22,
author={Miguel Medina and Javier Lorenzo-Navarro and David Freire-Obregón and Oliverio Santana and Daniel Hernández-Sosa and Modesto Santana},
title={Boosting Re-identification in the Ultra-running Scenario},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2022},
pages={461-469},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010904600003122},
isbn={978-989-758-549-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Boosting Re-identification in the Ultra-running Scenario
SN - 978-989-758-549-4
AU - Medina M.
AU - Lorenzo-Navarro J.
AU - Freire-Obregón D.
AU - Santana O.
AU - Hernández-Sosa D.
AU - Santana M.
PY - 2022
SP - 461
EP - 469
DO - 10.5220/0010904600003122