Players Clustering Based on Graph Theory for Tactics Analysis Purpose in Soccer Videos(<Special Section>Papers Selected from the 21st Symposium on Signal Processing)

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In this paper, a new method for clustering of players in order to analyze games in soccer videos is proposed. The proposed method classifies players who are closely related in terms of soccer tactics into one group. Considering soccer tactics, the players in one group are located near each other. For this reason, the Euclidean distance between the players is an effective measurement for the clustering of players. However, the distance is not sufficient to extract tactics-based groups. Therefore, we utilize a modified version of the community extraction method, which finds community structure by dividing a non-directed graph. The use of this method in addition to the distance enables accurate clustering of players.
社団法人電子情報通信学会の論文
2007-08-01