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About this paper
Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester
A method is introduced to estimate soccer player body orientation from monocular video by integrating super-resolution-enhanced pose data and contextual ball position. This approach achieves a Mean Absolute Angle Error (MEAE) of 29.78 degrees and a Median Absolute Angle Error (MDAE) of 27.66 degrees, providing new analytical dimensions for player performance evaluation through specialized visualization tools.
Key insights
- Preprocessing low-resolution player bounding boxes with a super-resolution network significantly improves the reliability and accuracy of subsequent pose estimation, crucial for sports video analysis.
- Fusing pose-derived orientation with contextual ball position data, rather than relying on either in isolation, yields a more accurate and robust estimation of player body orientation.
- Developing custom visualization tools (OrientSonars, Reaction Maps) is essential to translate complex orientation data into interpretable and actionable insights for coaches and analysts, revealing nuanced tactical patterns.
Summary by alphaXiv.
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