Soccer broadcast video understanding has been drawing a lot of attention in recent years
within data scientists and industrial companies. This is mainly due to the lucrative potential …

In video understanding, action spotting consists in temporally localizing human-induced
events annotated with single timestamps. In this paper, we propose a novel loss function that …

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 …

This study proposes a visual tracking system with 500-fps image processing that can detect
and track a fast-moving appearance-varying target in a 360-degree-field of view (FOV) from …

This study developsan omnidirectional panoramic video system that can simultaneously
observe zoom-in images at dozens of different viewpoints in a field of view by synchronizing …

We propose a novel deep learning framework for sports field registration. The typical
algorithmic flow for sports field registration involves extracting field-specific features (eg …

In this article, we present a novel method for self-calibrating a pan–tilt–zoom (PTZ) camera
system model, specifically suited for long-range multitarget tracking with maneuvering low …

Camera calibration and localization, sometimes simply named camera calibration, enables
many applications in the context of soccer broadcasting, for instance regarding the …

This paper addresses the linear auto-calibration problem of a pan-tilt-zoom (PTZ) camera.
Unlike existing methods, we take full advantage of the offset of the camera center from the …

Techniques related to calibration of wide-baseline outside-in multi camera systems are
discussed. Such techniques include receiving video sequences and intrinsic parameters …