How AI-based computer vision algorithms are impacting the sports industry: a survey

The sports industry, a multibillion-dollar global enterprise, engages audiences and inspires athletes with its dynamic, fast-paced, and action-packed nature. However, this very dynamism poses challenges for analysis and performance optimization. In recent years, computer vision has emerged as a transformative technology with the potential to reshape the landscape of sports. This field, which empowers computers to interpret and process visual data from the real world, offers numerous opportunities for innovation across the industry. Indeed, by leveraging computer vision, researchers and developers have created tools and systems that enhance the analysis of the complex dynamics in sports, with possible applications including tracking player movements with precision, analyzing game footage to identify patterns and strategies, and providing real-time insights that enhance decision-making for coaches and athletes. Beyond performance improvement, computer vision technologies also elevate the fan experience by offering immersive and interactive features, such as augmented replays and detailed statistical visualizations. As the adoption of computer vision continues to grow, its impact extends across all levels of sports, from grassroots programs to elite competitions. This technology not only provides a competitive edge but also redefines how sports are analyzed, experienced, and understood, marking a significant evolution in the industry.