A Universal Protocol to Benchmark Camera Calibration for Sports
Floriane Magera, Thomas Hoyoux, Olivier Barnich, Marc Van, Droogenbroeck

TL;DR
This paper introduces ProCC, a new universal benchmarking protocol for camera calibration in sports that fairly evaluates methods across different models and real-world scenarios, including non-planar elements and lens distortion.
Contribution
The paper proposes a camera calibration benchmarking protocol, ProCC, that is model-agnostic and evaluates calibration accuracy using known 3D objects, addressing limitations of existing benchmarks.
Findings
ProCC provides fairer evaluations of calibration methods.
It accounts for non-planar elements and lens distortion.
Experiments on major sports datasets validate its effectiveness.
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 Despite the significance of camera calibration research in sports analytics, progress is impeded by outdated benchmarking criteria.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 sports field plane to the image plane. However, such homography-based methods are doomed to overlook the broader capabilities of camera calibration in bridging the 3D world to the image. In particular, real-world non-planar sports field elements (such as goals, corner flags, baskets, ...) and image distortion caused by broadcast camera lenses are out of the scope of sports…
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Taxonomy
TopicsVideo Analysis and Summarization
