46 citations · 67 across the 5 of their papers we have counts for
6 papers · 1 filter
A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
Alejandro Cartas, Coloma Ballester, Gloria Haro
Action spotting in soccer videos is the task of identifying the specific time when a certain key action of the game occurs. Lately, it has received a large amount of attention and…
Self-Supervised Small Soccer Player Detection and Tracking
Samuel Hurault, Coloma Ballester, Gloria Haro
In a soccer game, the information provided by detecting and tracking brings crucial clues to further analyze and understand some tactical aspects of the game, including individual…
Using Player's Body-Orientation to Model Pass Feasibility in Soccer
Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández +2
Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time. The method leverages offensive player's o…
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players
Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández +3
Although orientation has proven to be a key skill of soccer players in order to succeed in a broad spectrum of plays, body orientation is a yet-little-explored area in sports analy…
Multi-Person tracking by multi-scale detection in Basketball scenarios
Adrià Arbués-Sangüesa, Gloria Haro, Coloma Ballester
Tracking data is a powerful tool for basketball teams in order to extract advanced semantic information and statistics that might lead to a performance boost. However, multi-person…
Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion
Adrià Arbués-Sangüesa, Coloma Ballester, Gloria Haro
Tracking sports players is a widely challenging scenario, specially in single-feed videos recorded in tight courts, where cluttering and occlusions cannot be avoided. This paper pr…