Evaluating the Impact of Low-Light Image Enhancement Methods on Runner Re-Identification in the Wild

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

2023

Abstract

Person re-identification (ReID) is a trending topic in computer vision. Significant developments have been achieved, but most rely on datasets with subjects captured statically within a short period of time in rather good lighting conditions. In the wild scenarios, such as long-distance races that involve widely varying lighting conditions, from full daylight to night, present a considerable challenge. This issue cannot be addressed by increasing the exposure time on the capture device, as the runners’ motion will lead to blurred images, hampering any ReID attempts. In this paper, we survey some low-light image enhancement methods. Our results show that including an image processing step in a ReID pipeline before extracting the distinctive body appearance features from the subjects can provide significant performance improvements.

Paper Citation

in Harvard Style

Santana O., Lorenzo-Navarro J., Freire-Obregón D., Hernández-Sosa D. and Castrillón-Santana M. (2023). Evaluating the Impact of Low-Light Image Enhancement Methods on Runner Re-Identification in the Wild. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 641-648. DOI: 10.5220/0011652000003411

in Bibtex Style

@conference{icpram23,
author={Oliverio Santana and Javier Lorenzo-Navarro and David Freire-Obregón and Daniel Hernández-Sosa and Modesto Castrillón-Santana},
title={Evaluating the Impact of Low-Light Image Enhancement Methods on Runner Re-Identification in the Wild},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={641-648},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011652000003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Evaluating the Impact of Low-Light Image Enhancement Methods on Runner Re-Identification in the Wild
SN - 978-989-758-626-2
AU - Santana O.
AU - Lorenzo-Navarro J.
AU - Freire-Obregón D.
AU - Hernández-Sosa D.
AU - Castrillón-Santana M.
PY - 2023
SP - 641
EP - 648
DO - 10.5220/0011652000003411