Automated Sports Player Performance Analysis: A Survey | ||
| النشرة المعلوماتية في الحاسبات والمعلومات | ||
| Article 2, Volume 3, Issue 2 - Serial Number 20210302, July 2021, Pages 11-16 PDF (1023.74 K) | ||
| Document Type: المقالة الأصلية | ||
| DOI: 10.21608/fcihib.2021.61283.1019 | ||
| Authors | ||
| احمد نادى* 1; أمل أبوطبل2; Ayman Atia3 | ||
| 1قسم علوم الحاسب ,کلية الحاسبات الذکاء الاصطناعى جامعة حلوان | ||
| 2Computer Science Department, Faculty of Computers and Information, Helwan University | ||
| 3HCI-LAB, Department of Computer Science, Faculty of Computers and Artificial Intelligence, Helwan University, Helwan, Egypt | ||
| Abstract | ||
| Sports can not be said it is a mean for social cohesion by allowing people interaction disregarding their social status, age, etc. only but also it became the entertainment industry from governmental views. Consequently, a large amount of resources has been directed to sports to improve understanding, performance and presentation. Sports video analysis is a popular tool to capture low-level and high-level analysis. Sports analytics have several usage scenarios such as personalized video summary, player statistics and tactical analysis. In order to make the automatic sports video analysis realized, there is a necessity for player identification across sports. Identifying players in sports videos is a major research challenge due to low video resolution per player, camera perspective, the variation of the posture of player, illumination conditions, variety of sports fields and t-shirts. Here, we survey the most significant methods and problem formulations that have been proposed to address the problem of player identification. | ||
| Keywords | ||
| تحليل الفيديو الرياضي; التعرف على رقم التيشرت; تحديد اللاعب | ||
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