Masaki Takahashi
ABSTRACT
We developed a system for visualizing golf putting trajectories that can be used in live broadcasting. The trajectory computer graphics (CGs) in a golf putting scene are useful for visualizing the results of past plays and the shape of the green. In addition, displaying past trajectories that were shot near the position of the next player helps TV viewers predict the ball movement of the next play. Visualizing the putting trajectories in this way offers TV viewers a new style of watching live golf tournaments and helps make the programs more understandable and exiting.
Supplemental Material
- B. Babenko, M. H. Yang, and S. Belongie. 2011. Robust object tracking with online multiple instance learning. In IEEE Trans. Pattern Anal. Mach. Intell. Vol. 33, No. 8. 1619--1632. Google Scholar
Digital Library
- Z. Kalal, K. Mikolajczyk, and J. Matas. 2010. Forward-Backward Error: Automatic Detection of Tracking Failures. In In Proc. of the International Conference on Pattern Recognition (ICPR2010). Google ScholarDigital Library
- Z. Kalal, K. Mikolajczyk, and J. Matas. 2012. Tracking-learning-detection. In IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.37, No.7. 1409--1422. Google ScholarDigital Library
- A. Lukezic, T. Vojir, L. C. Zajc,J. Matas, and M. Kristan. 2018. Discriminative Correlation Filter with Channel and Spatial Reliability. In Proc of the International Conference on Computer Vision (CVPR),. 6309--6318.Google Scholar
Index Terms
Visualization of putting trajectories in live golf broadcasting
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