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%.
Abstract (translated)
帕拉蒂宫（Planalto Palace）是巴西总统的办公室，2023年1月8日，抗议者入侵了这座建筑。巴西最高法院随后发布了大楼内的监控视频，供公众审查。我们使用这些视频片段创建了用于人员在现实场景中跟踪和识别的UFPR-Planalto801数据集。这个数据集包含超过500,000张图片。本文介绍了针对这个数据集的跟踪方法。这种方法依赖于在多层结构中使用已知的最先进跟踪器来纠正轨迹上的ID关联。我们使用IDF1、MOTA、MOTP和HOTA指标评估我们的方法。实验结果表明，使用的每个跟踪器都取得了改进，IDF1得分甚至提高了9.5%。
URL
https://arxiv.org/abs/2404.18876
