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Tracking Methods in Sports: a Review of Advances, Quality, and Challenges in Performance Data.
Felipe Arruda Moura1, Fabio Giuliano Caetano1, Ricardo da Silva Torres2
1Sport Sciences Department, State University of Londrina, Londrina, Brazil.
International Journal of Sports Medicine
|April 8, 2025
Summary
Athlete tracking systems analyze performance using computer vision, AI, and positioning technologies. This review covers system fundamentals, data quality, and future directions for accurate sports analytics.
Area of Science:
- Sports Science
- Performance Analysis
- Biomechanical Engineering
Background:
- Athlete tracking systems are crucial for performance analysis in sports.
- Data from these systems inform training and tactical decisions.
- System effectiveness varies with sporting environment and specific requirements.
Purpose of the Study:
- To review the fundamentals of major athlete tracking systems.
- To discuss algorithms for video processing (computer vision, AI).
- To cover global and local positioning systems and human pose estimation.
Main Methods:
- Narrative review of scientific literature.
- Analysis of computer vision and artificial intelligence algorithms.
- Examination of global positioning system (GPS) and global navigation satellite system (GNSS) data.
- Review of local positioning systems and human pose estimation techniques.
Main Results:
- Overview of various tracking system technologies and their underlying principles.
- Discussion on technological advancements in data acquisition, including human pose estimation.
- Summary of validation and quality analysis studies for different tracking methods.
Conclusions:
- Accurate athlete tracking is essential for informed decision-making in sports.
- Technological advancements offer new possibilities for performance analysis.
- Recommendations and future directions are provided for developing better tracking tools.
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