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2008

Broadcast Court-Net Sports Video Analysis Using Fast 3-D Camera Modeling

10 years 1 months ago
Broadcast Court-Net Sports Video Analysis Using Fast 3-D Camera Modeling
This paper addresses the automatic analysis of court-net sports video content. We extract information about the players, the playing-field in a bottom-up way until we reach scene-level semantic concepts. Each part of our framework is general, so that the system is applicable to several kinds of sports. A central point in our framework is a camera calibration module that relates the a-priori information of the geometric layout in the form of a court model to the input image. Exploiting this information, several novel algorithms are proposed, including playing-frame detection, players segmentation and tracking. To address the player-occlusion problem, we model the contour map of the player silhouettes using a nonlinear regression algorithm, which enables to locate the players during the occlusions caused by players in the same team. Additionally, a Bayesian-based classifier helps to recognize predefined key events, where the input is a number of real-world visual features. We illustrate ...
Jungong Han, Dirk Farin, Peter H. N. de With
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TCSV
Authors Jungong Han, Dirk Farin, Peter H. N. de With
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