The demand for video analysis has been rapidly increasing in the last decade. Video
analysis plays a critical role in various technologies, including medical diagnosis, security …

Over the past few decades, numerous studies have focused on identifying and recognizing
human actions using machine learning and computer vision techniques. Video-based …

Action scene understanding in soccer is a challenging task due to the complex and dynamic
nature of the game, as well as the interactions between players. This article provides a …

The registration of images of soccer matches is a key stage in many computer vision
applications. Until now, this task has been typically carried out from key points obtained from …

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 …

In the last years, scientific and industrial research has experienced a growing interest in
acquiring large annotated data sets to train artificial intelligence algorithms for tackling …

We presented a novel video-based event detection method in soccer videos. Our proposed
method is based on convolutional neural networks (CNNs) and gated recurrent units (GRUs) …

Automatic detection of videos with outstanding situations is a practical issue that needs to be
studied in many events of different fields with common length and frequency of occurrence …

Informação e dados estatísticos sobre jogos de futebol são importantes para qualquer
equipa, mas nem todas possuem os recursos, monetários e humanos para obter os …

In the last years, scientific and industrial research has experienced a growing interest in
acquiring large annotated data sets to train artificial intelligence algorithms for tackling …