Search Results for author:
Found 5 papers, 0 papers with code
Learning Football Body-Orientation as a Matter of Classification
Orientation is a crucial skill for football players that becomes a differential factor in a large set of events, especially the ones involving passes.
Using Player's Body-Orientation to Model Pass Feasibility in Soccer
Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time.
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players
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 analytics' research.
Multi-Person tracking by multi-scale detection in Basketball scenarios
The presented system could be used as a source of data gathering in order to extract useful statistics and semantic analyses a posteriori.
Single-Camera Basketball Tracker through Pose and Semantic Feature Fusion
Tracking sports players is a widely challenging scenario, specially in single-feed videos recorded in tight courts, where cluttering and occlusions cannot be avoided.
