Tracking players in highly complex scenes in broadcast soccer video using a constraint satisfaction approach
Tracking players in highly complex scenes in broadcast soccer video using a constraint satisfaction approach
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使用约束满足方法跟踪足球广播视频中高度复杂场景中的球员
DOI：
10.1145/1386352.1386417
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Hiroyuki Kubo
中科院分区：
文献类型：
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作者：
J. Miura;Hiroyuki Kubo
本文研究了广播足球视频中的运动员跟踪问题。在足球比赛中，球员有时会聚集在一个小区域，例如角球。在这种情况下，由于严重的遮挡，简单的检测和跟踪方法肯定会失败。我们科普这种困难的情况下，使用约束满足的方法。为了在不同的地方和帧中整合证据，我们构建了一个玩家blob图，表示可能的玩家转换。每个斑点的视图提供了对斑点中的玩家数量的约束。所有这些约束都通过图传播，以减少数字中的模糊性。传播后剩余的模糊性由统计方法处理，其中选择一组最可能的数字解释。最后，根据运动员的平滑度确定运动员的轨迹。实验结果表明了该方法的有效性。
This paper deals with player tracking in broadcast soccer video. In soccer games, players sometimes gather in a small area in the case of, for example, a corner kick. In such a case, due to a heavy occlusion, a simple detection-and-tracking method will certainly fail. We cope with such difficult cases using a constraint satisfaction approach. To integrate pieces of evidence at various places and frames, we construct a graph of player blobs representing possible player transitions. The view of each blob provides a constraint on the number of players in the blob. All such constraints are propagated through the graph to reduce the ambiguities in the numbers. The remaining ambiguities after the propagation is handled by a statistical approach in which a set of the most likely interpretations on the numbers is selected. Finally the players' trajectory are determined based on their smoothness. Experimental results show the effectiveness of the method.