In contemporary fixed-field team sports, the integration of computer vision techniques has become a popular practice for scrutinizing team strategies and tactics. This study embraces a comprehensive approach that amalgamates action recognition using MMaction2, object detection by Yolov10, and multi-object tracking using Bot-Sort to unravel the intricacies of ice hockey strategies. With a keen focus on pivotal actions such as passing and shooting movements, this research utilizes the McGill Hockey Player Tracking Dataset (MHPTD) to unearth valuable insights into ice hockey strategies. In the methodology, we provide a concise understanding of ice hockey dynamics, highlighting the significance of key actions in team sports. Social Network Analysis (SNA) is performed to understand ice hockey strategies, emphasizing the role of key actions, and fostering innovative approaches to sports education and analysis. We emphasise that key actions, such as precise passing and strategic offensive moves, could offer a profound impact on SNA. Moreover, we use Louvain method for community detection which allows us to uncover latent structures within the player network that extend beyond connections. By adding action patterns to the community, we reveal clusters of players who collaborate closely on the field and exhibit similar playing styles and strategic preferences. This study offers coaches and educators actionable insights for designing training programs and understanding team tactics. By integrating cutting-edge technologies with educational principles, our research contributes to performance analysis and modern coaching methods, enriching the landscape of fixed-field team sports education.

Authors:
Boyang Zhang, Wapice, Finland

About the Presenter(s)
Dr. Boyang Zhang is an expert in LLMs, AI, ML, computer vision, NLP cloud computing, network structure, app development, system integrations, and geographic information systems.

Connect on Linkedin
https://www.linkedin.com/in/boyang-zhang-1b719075/

Connect on ResearchGate
https://www.researchgate.net/profile/Boyang-Zhang-5

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