In this paper we propose a system capable of tracking multiple soccer players in different types of video quality. The main goal, in contrast to most state-of-art soccer player tracking systems, is the ability of execute effectively tracking in videos of low-quality. We adapted a state-of-art Multiple Object Tracking to the task. In order to do that adaptation, we created a Detection and a Tracking Dataset for 3 different qualities of video. The results of our system are conclusive of its high performance.
@article{arxiv.2105.10700,
title = {Soccer Player Tracking in Low Quality Video},
author = {Eloi Martins and José Henrique Brito},
journal= {arXiv preprint arXiv:2105.10700},
year = {2021}
}