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arXiv · 2312.15236

Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action

Javier Torón-Artiles·Daniel Hernández-Sosa·Oliverio J. Santana·Javier Lorenzo-Navarro·David Freire-Obregón
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Abstract

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.

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Javier Torón-Artiles, Daniel Hernández-Sosa, Oliverio J. Santana, Javier Lorenzo-Navarro, David Freire-Obregón. 2023-12-23. Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action. https://doi.org/10.5220/0012417100003654

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