Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Physics-Based 3D Position Analysis of a Soccer Ball from Monocular Image Sequences
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Implanting virtual advertisement into broadcast soccer video
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Real-time video content analysis tool for consumer media storage system
IEEE Transactions on Consumer Electronics
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
| Hi-index | 0.00 |
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.