Abstract
This paper concentrates on a unified 3-D camera modeling technique, which can be applied to analyze several sports types. To this end, we have based our modeling on collecting feature points from two perpendicular planes: the ground plane and the net plane, as they exist in most court-net sports. A two-step algorithm is employed to extract and distinguish the feature lines and points from these two planes for determining the camera calibration parameters. Our proposed modeling enables a defined mapping from real 3-D scene coordinates to image coordinates. The use of this modeling helps in the improvement of many emerging applications, such as moving-player segmentation and 3-D scene adaptation. We evaluate the promising performance of the proposed modeling for a variety of court-net sports videos containing badminton, tennis and volleyball, and also demonstrate its capability on the case study of player segmentation and 3-D scene adaptation.
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Han, J., de With, P.H.N. (2007). 3-D Camera Modeling and Its Applications in Sports Broadcast Video Analysis. In: Sebe, N., Liu, Y., Zhuang, Y., Huang, T.S. (eds) Multimedia Content Analysis and Mining. MCAM 2007. Lecture Notes in Computer Science, vol 4577. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73417-8_52
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DOI: https://doi.org/10.1007/978-3-540-73417-8_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73416-1
Online ISBN: 978-3-540-73417-8
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