Related papers: Deep Understanding of Soccer Match Videos

Deep Understanding of Soccer Match Videos

URL: http://arxiv.org/abs/2407.08200v1
Date: Thu, 11 Jul 2024 05:54:13 GMT
Title: Deep Understanding of Soccer Match Videos
Authors: Shikun Xu, Yandong Zhu, Gen Li, Changhu Wang,
Abstract summary: Soccer is one of the most popular sport worldwide, with live broadcasts frequently available for major matches. Our system can detect key objects such as soccer balls, players and referees. It also tracks the movements of players and the ball, recognizes player numbers, classifies scenes, and identifies highlights such as goal kicks.
Score: 20.783415560412003
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Soccer is one of the most popular sport worldwide, with live broadcasts frequently available for major matches. However, extracting detailed, frame-by-frame information on player actions from these videos remains a challenge. Utilizing state-of-the-art computer vision technologies, our system can detect key objects such as soccer balls, players and referees. It also tracks the movements of players and the ball, recognizes player numbers, classifies scenes, and identifies highlights such as goal kicks. By analyzing live TV streams of soccer matches, our system can generate highlight GIFs, tactical illustrations, and diverse summary graphs of ongoing games. Through these visual recognition techniques, we deliver a comprehensive understanding of soccer game videos, enriching the viewer's experience with detailed and insightful analysis.

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