Nowadays, soccer is the most popular sport in our society, followed by millions of people.
Consequently, many video analysis applications have been developed in the last years to …

Sports analysis has gained paramount importance for coaches, scouts, and fans. Recently,
computer vision researchers have taken on the challenge of collecting the necessary data …

This paper proposes a strategy for the automatic registration of soccer images on a model of
the field of play. First, a robust and efficient preprocessing is applied to discard the areas of …

The paper describes a deep network based object detector specialized for ball detection in
long shot videos. Due to its fully convolutional design, the method operates on images of …

In this work, we propose an efficient, mere algorithm for detection of a soccer ball and
players. In long shots, existing algorithms may not be able to detect the ball when it merged …

This paper proposes a strategy to segment the playing field in soccer images, suitable for
integration in many soccer image analysis applications. The combination of a green …

This paper presents an automatic method to track soccer players in soccer video recorded
from a single camera where the occurrence of pan-tilt-zoom can take place. The automatic …

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ــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ Abstract: The players and ball are the most important …

The computer vision field has wide applications in various areas, including sports. Almost all
sports events have been exploiting the best features. Sports videos are structure-based, and …

Sports analytics are on the rise in European football, however, due to the high cost so far
only the top tier leagues and championships have had the privilege of collecting high …