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 …

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 …

Deep learning-based object detectors have driven notable progress in multi-object tracking
algorithms. Yet, current tracking methods mainly focus on simple, regular motion patterns in …

Abstract Multi-Object Tracking on humans has improved rapidly with the development of
object detection and re-identification algorithms. However, multi-actor tracking over humans …

Recent deep learning-based object detection approaches have led to significant progress in
multi-object tracking (MOT) algorithms. The current MOT methods mainly focus on …

Tracking and identifying players is an important problem in computer vision based ice
hockey analytics. Player tracking is a challenging problem since the motion of players in …

Abstract Multi-Object Tracking on humans has improved rapidly with the development of
object detection and re-identification algorithms. However, multi-actor tracking over humans …

Soccer, often referred to as the world's most popular sport, is a dynamic and complex game,
offering an intriguing blend of individual skill and collective strategy. In recent years, the …

El proyecto consiste en el desarrollo de un algoritmo para la detección y seguimiento de
jugadores de waterpolo con el propósito de crear una herramienta para el análisis de los …