Ball Tracking and Virtual Replays for Innovative Tennis Broadcasts

  title={Ball Tracking and Virtual Replays for Innovative Tennis Broadcasts},
  author={Gopal Sarma Pingali and Agata Opalach and Yves Jean},
This paper presents a real-time computer vision system that tracks the motion of a tennis ball in 3D using multiple cameras. Ball tracking enables virtual replays, new game statistics, and other visualizations which result in very new ways of experiencing and analyzing tennis matches. The system has been used in international television broadcasts and webcasts of more than 15 matches. Six cameras around a stadium, divided into four pairs, are currently used to track the ball on serves which… CONTINUE READING
Highly Cited
This paper has 84 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 55 extracted citations

Ball tracking in sports: a survey

Artificial Intelligence Review • 2017
View 6 Excerpts
Highly Influenced

Painless Tennis Ball Tracking System

2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) • 2018
View 1 Excerpt

TenniSet: A Dataset for Dense Fine-Grained Event Recognition, Localisation and Description

2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA) • 2017
View 1 Excerpt

84 Citations

Citations per Year
Semantic Scholar estimates that this publication has 84 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-7 of 7 references

Real-time tracking for enhanced sports broadcasts

G.Pingali, Y. Jean, I. Carlbom
Proceedings of CVPR98, • 1998
View 2 Excerpts

An efficient and accurate camera calibration technique for 3d machine vision

R. Y. Tsai
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition • 1986
View 1 Excerpt

Similar Papers

Loading similar papers…