Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

Sports involve commonly players and equipment of high dynamics. Their location and
motion data are essential for sports digitalization-related applications, such as from …

With the recent development of Deep Learning applied to Computer Vision, sport video
understanding has gained a lot of attention, providing much richer information for both sport …

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 …

Performance of object detection models has been growing rapidly on two major fronts,
model accuracy and efficiency. However, in order to map deep neural network (DNN) based …

Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …

Increasing interest, enthusiasm of sport lovers, and economics involved offer high
importance to sports video recording and analysis. Being crucial for decision making, ball …

Understanding the principles of real-world biological multi-agent behaviors is a current
challenge in various scientific and engineering fields. The rules regarding the real-world …

In this paper, we propose a study on multi-modal (audio and video) action spotting and
classification in soccer videos. Action spotting and classification are the tasks that consist in …

In real-world sports video analysis, identity switching caused by inter-object interactions is
still a major difficulty for multi-player tracking. Due to similar appearances of players on the …