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CVPR
2010
IEEE

Player Localization Using Multiple Static Cameras for Sports Visualization

10 years 2 months ago
Player Localization Using Multiple Static Cameras for Sports Visualization
We present a novel approach for robust localization of multiple people observed using multiple cameras. We use this location information to generate sports visualizations, which include displaying a virtual offside line in soccer games, and showing players positions and motion patterns. Our main contribution is the modeling and analysis for the problem of fusing corresponding players positional information as finding minimum weight K-length cycles in complete K-partite graphs. To this end, we use a dynamic programming based approach that varies over a continuum of being maximally to minimally greedy in terms of the number of paths explored at each iteration. We present an end-toend sports visualization framework that employs our proposed algorithm-class. We demonstrate the robustness of our framework by testing it on 60, 000 frames of soccer footage captured over 5 different illumination conditions, play types, and team attire.
Raffay Hamid, Ramkrishan Kumar, Matthias Grundmann
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where CVPR
Authors Raffay Hamid, Ramkrishan Kumar, Matthias Grundmann, Kihwan Kim, Irfan Essa, Jessica Hodgins
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