  Tracking people in a video sequence is a challenging task that has been
approached from many perspectives. This task becomes even more complicated when
the person to track is a player in a broadcasted sport event, the reasons being
the existence of difficulties such as frequent camera movements or switches,
total and partial occlusions between players, and blurry frames due to the
codification algorithm of the video. This paper introduces a player tracking
solution which is both fast and accurate. This allows to track a player
precisely in real-time. The approach combines several models that are executed
concurrently in a relatively modest hardware, and whose accuracy has been
validated against hand-labeled broadcast video sequences. Regarding the
accuracy, the tests show that the area under curve (AUC) of our approach is
around 0.6, which is similar to generic state of the art solutions. As for
performance, our proposal can process high definition videos (1920x1080 px) at
80 fps.
