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Video-based Analysis of Soccer Matches

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arxiv 2105.04875 v1 pith:5OBRKCFC submitted 2021-05-11 cs.CV

classification cs.CV
keywords socceranalysismatchesvideo-basedbeendevelopeddirectlyidentify
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With the increasingly detailed investigation of game play and tactics in invasive team sports such as soccer, it becomes ever more important to present causes, actions and findings in a meaningful manner. Visualizations, especially when augmenting relevant information directly inside a video recording of a match, can significantly improve and simplify soccer match preparation and tactic planning. However, while many visualization techniques for soccer have been developed in recent years, few have been directly applied to the video-based analysis of soccer matches. This paper provides a comprehensive overview and categorization of the methods developed for the video-based visual analysis of soccer matches. While identifying the advantages and disadvantages of the individual approaches, we identify and discuss open research questions, soon enabling analysts to develop winning strategies more efficiently, do rapid failure analysis or identify weaknesses in opposing teams.

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Cited by 1 Pith paper

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  1. SportsBuddy: Designing and Evaluating an AI-Powered Sports Video Storytelling Tool Through Real-World Deployment

    cs.HC 2025-02 conditional novelty 6.0 of 10

    SportsBuddy, a deployed AI-assisted web editor, lets sports users add tracked highlights, tactical drawings, and captions to game videos without professional editing skills.

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