Report
Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action
| العنوان: | Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action |
|---|---|
| المؤلفون: | Torón-Artiles, Javier, Hernández-Sosa, Daniel, Santana, Oliverio J., Lorenzo-Navarro, Javier, Freire-Obregón, David |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | This research addresses whether the ball's direction after a soccer free-kick can be accurately predicted solely by observing the shooter's kicking technique. To investigate this, we meticulously curated a dataset of soccer players executing free kicks and conducted manual temporal segmentation to identify the moment of the kick precisely. Our approach involves utilizing neural networks to develop a model that integrates Human Action Recognition (HAR) embeddings with contextual information, predicting the ball-on-goal position (BoGP) based on two temporal states: the kicker's run-up and the instant of the kick. The study encompasses a performance evaluation for eleven distinct HAR backbones, shedding light on their effectiveness in BoGP estimation during free-kick situations. An extra tabular metadata input is introduced, leading to an interesting model enhancement without introducing bias. The promising results reveal 69.1% accuracy when considering two primary BoGP classes: right and left. This underscores the model's proficiency in predicting the ball's destination towards the goal with high accuracy, offering promising implications for understanding free-kick dynamics in soccer. Comment: Accepted at 13th International Conference on Pattern Recognition Applications (ICPRAM 2024) |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2312.15236 |
| رقم الانضمام: | edsarx.2312.15236 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |