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Team Possession Analysis for Broadcast Soccer Video Based on Ball Trajectory

机译:基于球轨迹的广播足球视频团队占有分析

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This paper presents a framework to automatically analyze the team possession for broadcast soccer video. Our framework requires the position of the ball and the play/break structure information as input. This problem is important in the cases of coaches and viewers evaluating team performance, and in the border context of video content understanding. The local minima of ball velocity curve over frames are a good start for finding possession transition points. The local minima and maxima in X and Y curves of the ball position, the ball and player locations, and acceleration starting points of the ball are used to infer the touching points, which are potential ball possession transition points. A Support Vector Machine is employed to find out which team touches the ball for each touching point. Experimental results on two consecutive 1000-frame sequences illustrate that the proposed framework is promising.
机译:本文介绍了自动分析广播足球视频的团队占有的框架。我们的框架需要球的位置和播放/中断结构信息作为输入。这个问题在教练和观众评估团队表现的情况下以及视频内容理解的边界背景中很重要。球速曲线的局部最小值在框架上是寻找占有转变点的良好开端。球位置的X和Y曲线中的局部最小值和最大值,球和球员位置以及球的加速起始点用于推断触摸点,这是潜在的球占有过渡点。支持向量机器被用来找出哪个团队为每个触摸点接触球。两个连续1000帧序列的实验结果表明,所提出的框架是有前途的。

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