7 citations · 7 across the 1 of their papers we have counts for
7 papers
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…
History-based Anomaly Detector: an Adversarial Approach to Anomaly Detection
Pierrick Chatillon, Coloma Ballester
Anomaly detection is a difficult problem in many areas and has recently been subject to a lot of attention. Classifying unseen data as anomalous is a challenging matter. Latest pro…
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…
ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution
Patricia Vitoria, Lara Raad, Coloma Ballester
The colorization of grayscale images is an ill-posed problem, with multiple correct solutions. In this paper, we propose an adversarial learning colorization approach coupled with…