  The Pal\'acio 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%.
