A Review of Vision-Based Motion Analysis in Sport
By Sian Barris, Chris Button. Sports Medicine, 2008
314 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/8ff2ec5e0f1f14fc20155ff5c1730e3783bd3936
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In Computer Vision and Pattern Recognition
Citations in the corpus
- Perceptual-Cognitive Training of Athletes (2012, background): “With the advent of new performance recording and statistical analysis systems across many team sports, high-level game strategy also has the potential of significant advancement (Barris & Button 2008).”
- Analysing Team Coordination Patterns from Player Movement Trajectories in Soccer: Methodological Considerations (2012, methodology): “…the global positioning system (GPS) such as GPSports SPI Pro X II (GPSports Systems, Fyshwick, ACT 2609, Australia) and radio-based systems, such as Inmotio Local Position Measurement (LPM; Inmotio Object Tracking BV, Amsterdam, the Netherlands); (for a detailed review see Barris and Button, 2008).”
- Nonlinear Learning Underpinning Pedagogy: Evidence, Challenges, and Implications (2013, background): “…produced by the University of Otago, New Zealand; Barris, 2008), a simple software that captures displacement data of individuals in a playing area, allows sports scientists to examine game-play behaviors of players at different skill levels and for different games (see Barris & Button, 2008).”
- Straight sprinting is the most frequent action in goal situations in professional football (2012, methodology): “This approach might be prone to subjective bias and, thus, critical evaluation of inter-observer consistency using kappa statistics has been recently proposed (Barris & Button, 2008 ; Drust, Atkinson, & Reilly, 2007 ).”