Deep Understanding of Soccer Match Videos

التفاصيل البيبلوغرافية
العنوان: Deep Understanding of Soccer Match Videos
المؤلفون: Xu, Shikun, Zhu, Yandong, Li, Gen, Wang, Changhu
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition
الوصف: 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2407.08200
رقم الأكسشن: edsarx.2407.08200
قاعدة البيانات: arXiv