  Soccer is one of the most popular sport worldwide, with live broadcasts
frequently available for major matches. However, extracting detailed,
frame-by-frame information on player actions from these videos remains a
challenge. Utilizing state-of-the-art computer vision technologies, our system
can detect key objects such as soccer balls, players and referees. It also
tracks the movements of players and the ball, recognizes player numbers,
classifies scenes, and identifies highlights such as goal kicks. By analyzing
live TV streams of soccer matches, our system can generate highlight GIFs,
tactical illustrations, and diverse summary graphs of ongoing games. Through
these visual recognition techniques, we deliver a comprehensive understanding
of soccer game videos, enriching the viewer's experience with detailed and
insightful analysis.
