all AI news
A Universal Protocol to Benchmark Camera Calibration for Sports
April 16, 2024, 4:48 a.m. | Floriane Magera, Thomas Hoyoux, Olivier Barnich, Marc Van Droogenbroeck
cs.CV updates on arXiv.org arxiv.org
Abstract: Camera calibration is a crucial component in the realm of sports analytics, as it serves as the foundation to extract 3D information out of the broadcast images. Despite the significance of camera calibration research in sports analytics, progress is impeded by outdated benchmarking criteria. Indeed, the annotation data and evaluation metrics provided by most currently available benchmarks strongly favor and incite the development of sports field registration methods, i.e. methods estimating homographies that map the …
abstract analytics arxiv benchmark benchmarking broadcast cs.cv extract foundation images indeed information progress protocol realm research significance sports type universal
More from arxiv.org / cs.CV updates on arXiv.org
Retrieval-Augmented Egocentric Video Captioning
2 days, 22 hours ago |
arxiv.org
Mirror-Aware Neural Humans
2 days, 22 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US