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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Han, J., & De With, P. H. N. (2007). 3-D camera modeling and its applications in sports broadcast video analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4577 LNCS, pp. 434–443). Springer Verlag. https://doi.org/10.1007/978-3-540-73417-8_52
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