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Analysis of Sports Scenes Using Computer Vision Models

Data Science Conference via YouTube

Overview

Explore computer vision applications in sports analysis through this 27-minute conference talk from Data Science Conference Europe 2022. Dive into essential methods for player detection, multi-player tracking, and action recognition in sports environments. Learn about deep convolutional neural networks and examine practical experiments using cutting-edge deep models specifically applied to handball scenes. Understand how these technologies assist players and coaches in performance monitoring, technique analysis, and officiating. Gain insights into current challenges and open issues facing computer vision implementation in dynamic sports environments, presented by Marina Ivasic Kos during her in-person presentation in Belgrade.

Syllabus

Analysis of sports scenes using computer vision models | Marina Ivasic Kos | DSC Europe 2022

Taught by

Data Science Conference

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