  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.
