A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Soccer Image Sequence Computed by a Virtual Camera
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Free viewpoint video synthesis and presentation of sporting events for mixed reality entertainment
Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology
Video2Cartoon: generating 3D cartoon from broadcast soccer video
Proceedings of the 13th annual ACM international conference on Multimedia
Inserting 3D projected virtual content into broadcast tennis video
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Generic 3-d modeling for content analysis of court-net sports sequences
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
A vision-based mobile augmented reality system for baseball games
Proceedings of the 2011 international conference on Virtual and mixed reality: new trends - Volume Part I
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This paper presents a new augmented-reality system designed to generate visual enhancements for TV broadcasted court-net sports. A probabilistic method based on the Expectation Maximization (EM) procedure is utilized to find the optimal feature points, thereby enabling the automatic acquisition of the camera parameters from the TV image with high accuracy. A virtual camera derived from the original camera, helps to synthesize a variety of virtual scenes, such as the scene from the viewpoint of a player, depending on the intention of the user. To preserve the visual nature of the original human motion, the player's shape and texture are extracted from the real video and texture-mapped onto the virtual video. The system was tested over a set of court-net sports videos containing tennis, badminton and volleyball and demonstrated promising results.