A Multilevel Strategy to Improve People Tracking in a Real-World Scenario

Cristiano B. de Oliveira, Cristiano B. de Oliveira, Joao Neves, Rafael Ribeiro, David Menotti

2024

Abstract

The Palácio do Planalto, office of the President of Brazil, was invaded by protesters on January 8, 2023. Surveillance videos taken from inside the building were subsequently released by the Brazilian Supreme Court for public scrutiny. We used segments of such footage to create the UFPR-Planalto801 dataset for people tracking and re-identification in a real-world scenario. This dataset consists of more than 500,000 images. This paper presents a tracking approach targeting this dataset. The method proposed in this paper relies on the use of known state-of-the-art trackers combined in a multilevel hierarchy to correct the ID association over the trajectories. We evaluated our method using IDF1, MOTA, MOTP and HOTA metrics. The results show improvements for every tracker used in the experiments, with IDF1 score increasing by a margin up to 9.5%.

Paper Citation

in Harvard Style

de Oliveira C., Neves J., Ribeiro R. and Menotti D. (2024). A Multilevel Strategy to Improve People Tracking in a Real-World Scenario. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 130-137. DOI: 10.5220/0012460000003660

in Bibtex Style

@conference{visapp24,
author={Cristiano B. de Oliveira and Joao Neves and Rafael Ribeiro and David Menotti},
title={A Multilevel Strategy to Improve People Tracking in a Real-World Scenario},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012460000003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - A Multilevel Strategy to Improve People Tracking in a Real-World Scenario
SN - 978-989-758-679-8
AU - de Oliveira C.
AU - Neves J.
AU - Ribeiro R.
AU - Menotti D.
PY - 2024
SP - 130
EP - 137
DO - 10.5220/0012460000003660
PB - SciTePress