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Team possession analysis for broadcast soccer video based on ball trajectory

机译:基于球轨迹的足球转播视频球队占有分析

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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:本文提出了一个框架,可以自动分析球队对转播的足球视频的拥有情况。我们的框架要求球的位置和比赛/休息区结构信息作为输入。在教练和观众评估团队表现的情况下,以及在视频内容理解的边界范围内,此问题非常重要。球在整个框架上的速度曲线的局部最小值是找到拥有权转换点的良好起点。球位置,球和球员位置以及球的加速度起点的X和Y曲线中的局部最小值和最大值用于推断触碰点,它们是潜在的控球过渡点。使用支持向量机来找出哪个团队为每个接触点触球。在两个连续的1000帧序列上的实验结果表明,提出的框架很有希望。

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