Szczegóły publikacji
Opis bibliograficzny
Improving object detection quality in football through super-resolution techniques / Karolina Seweryn, Gabriel Chęć, Szymon ŁUKASIK, Anna Wróblewska // W: Computational Science – ICCS 2025 : 25th international conference : Singapore, Singapore, July 7–9, 2025 : proceedings , Pt. 1 / eds. Michael H. Lees [et al.]. — Cham : Springer Nature Switzerland, cop. 2025. — ( Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 15903 ). — ISBN: 978-3-031-97625-4; e-ISBN: 978-3-031-97626-1. — S. 151–163. — Bibliogr., Abstr. — Publikacja dostępna online od: 2025-06-30. — Sz. Łukasik - dod. afiliacja: NASK - National Research Institute, Warsaw
Autorzy (4)
- Seweryn Karolina
- AGHChęć Gabriel
- AGHŁukasik Szymon
- Wróblewska Anna
Dane bibliometryczne
| ID BaDAP | 161036 |
|---|---|
| Data dodania do BaDAP | 2025-07-18 |
| DOI | 10.1007/978-3-031-97626-1_11 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Computational Science 2025 |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
This research examines the effectiveness of super-resolution techniques in improving object detection accuracy in football. Given the sport’s fast pace and the need for precise tracking of players and the ball, super-resolution can offer significant improvements. The study applies super-resolution techniques to SoccerNet football videos and evaluates their impact on Faster R-CNN detection accuracy. Findings reveal a significant boost in object detection accuracy following the application of super-resolution preprocessing. Enhancing object detection by integrating super-resolution techniques provides substantial advantages, particularly in low-resolution settings, with a 12% rise in mean Average Precision (mAP) at an IoU (Intersection over Union) range of 0.50:0.95 for 320 240 pixel images when the resolution is quadrupled using RLFN. As the image dimensions grow, the extent of improvement becomes less pronounced; however, a consistent enhancement in detection quality remains clear. Moreover, the implications of these results for real-time sports analytics, player tracking, and the overall viewing experience are discussed.
