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arXiv · 2211.02143

Sports Camera Pose Refinement Using an Evolution Strategy

Grzegorz Rypeść·Grzegorz Kurzejamski·Jacek Komorowski
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Abstract

This paper presents a robust end-to-end method for sports cameras extrinsic parameters optimization using a novel evolution strategy. First, we developed a neural network architecture for an edge or area-based segmentation of a sports field. Secondly, we implemented the evolution strategy, which purpose is to refine extrinsic camera parameters given a single, segmented sports field image. Experimental comparison with state-of-the-art camera pose refinement methods on real-world data demonstrates the superiority of the proposed algorithm. We also perform an ablation study and propose a way to generalize the method to additionally refine the intrinsic camera matrix.

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Grzegorz Rypeść, Grzegorz Kurzejamski, Jacek Komorowski. 2022-11-03. Sports Camera Pose Refinement Using an Evolution Strategy. https://doi.org/10.1109/cec55065.2022.9870256

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