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 …

There is a growth of demand for automatically analyzing soccer matches and tactics. Since
players are the focus of attentions in soccer matches, player tracking is a fundamental …

Tracking and identifying players is a fundamental step in computer vision-based ice hockey
analytics. The data generated by tracking is used in many other downstream tasks, such as …

Tracking-by-detection is one of the typical paradigms for multi-person tracking, due to the
availability of automatic pedestrian detectors. However, existing multi-person trackers are …

The problem of ground truth generation is fundamental for many approaches of computer
vision and image processing. In order to test algorithms for object segmentation, object …

Detecting events in videos is a complex task, and many different approaches, aimed at a
large variety of use-cases, have been proposed in the literature. Most approaches, however …

People Tracking in multiple cameras is of great interest for wide area video surveillance
systems. Multi-camera tracking with non-overlap** fields of view (FOV) involves the …

It is significant to detect and track soccer players in broadcast sports video, which is helpful
to analysis player activity and team tactics. However, it is challenging to efficiently detect and …

Background Modelling and Foreground detection in sports has been achieved by cleverly
develo** a model of a background from a video by deducing knowledge from frames and …

This study presents a deep neural network (DNN)-based safety monitoring method.
Nonstationary objects such as moving workers, heavy equipment, and pallets were …