论文标题
在广播匹配视频中跟踪个人玩家的混合方法
A Hybrid Approach for Tracking Individual Players in Broadcast Match Videos
论文作者
论文摘要
从视频序列跟踪人们是一项具有挑战性的任务，从许多角度来看。当要跟踪的人是广播体育赛事中的球员时，此任务变得更加复杂，原因是存在诸如频繁的相机运动或开关，玩家之间的全部和部分遮挡等困难，以及由于视频的编纂算法而引起的模糊框架。本文介绍了既快速又准确的播放器跟踪解决方案。这允许实时准确跟踪播放器。该方法结合了几个模型，这些模型同时在相对适中的硬件中执行，并且已经针对手工标记的广播视频序列进行了验证。关于准确性，测试表明我们方法的曲线（AUC）面积约为0.6，这与最先进的解决方案的通用状态相似。至于绩效，我们的建议可以以80 fps处理高清视频（1920x1080 PX）。
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.
