Enhancing ball detection in football videos using attention mechanisms in FPN-based CNNS

• Опубліковано в: PROBLEMS IN PROGRAMMING
• Дата: 2025
• Випуск: 2
• Сторінки: 54-62
• ISSN: 1727-4907
• Автори та афіліації: I.B. Ivasenko — G. V. Karpenko Institute of Physics and Mechanics of the NAS of Ukraine; S.S. Bishyr — Lviv Polytechnic National University — ORCID: 0009-0009-1008-9292
• Автори: Ivasenko, I.B., Bishyr, S.S.
• Формат: Стаття
• Мова: Англійська
• Опубліковано: PROBLEMS IN PROGRAMMING 2025
• Теми: ball Detection; deep learning; football video analysis; object detection; attention mechanisms; feature pyramid network; UDC 004.932.2:796.332
• Онлайн доступ: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/837
• Назва журналу: Problems in programming

While deep learning models have significantly advanced player detection in sports analytics, accurately identi fying the football remains a persistent challenge due to its small size, rapid movement, frequent occlusions, and visual similarity to other elements such as player socks, logos, and field...