Title:
Player Localization Using Multiple Static Cameras for Sports Visualization
Player Localization Using Multiple Static Cameras for Sports Visualization
Author(s)
Hamid, Raffay
Kumar, Ram Krishan
Grundmann, Matthias
Kim, Kihwan
Essa, Irfan
Hodgins, Jessica K.
Kumar, Ram Krishan
Grundmann, Matthias
Kim, Kihwan
Essa, Irfan
Hodgins, Jessica K.
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Abstract
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-to-end
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.
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Date Issued
2010-06
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Text
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Post-print
Proceedings
Proceedings