During a baseball game, dramatic changes in lighting conditions and the movement of objects and players can result in a shifting pattern of light and color that makes it especially difficult to track a pitched ball. Further, several ballparks have a net in place behind home plate, which contributes further to the visual clutter that the image processing system must filter out when tracking the baseball. Meeting these challenges required developing a complex system that fuses high-end computer graphics with a sophisticated algorithm for calculating flight trajectories. The paper considers the ESPN K Zone system which uses computer-generated graphics to create a shaded, translucent box that outlines the strike zone boundaries for viewers. Behind the flashy graphics, K Zone-named after a synonym for the strike zone is a sophisticated computing system that monitors each pitch's trajectory.
[1]
O. Faugeras.
Three-dimensional computer vision: a geometric viewpoint
,
1993
.
[2]
J. L. Roux.
An Introduction to the Kalman Filter
,
2003
.
[3]
Yoshiaki Shirai,et al.
Three-Dimensional Computer Vision
,
1987,
Symbolic Computation.
[4]
Yves Jean,et al.
Ball tracking and virtual replays for innovative tennis broadcasts
,
2000,
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[5]
L. J. Levy.
The Kalman Filter : Navigation ' s Integration Workhorse
,
2001
.
[6]
Larry S. Davis,et al.
Non-parametric Model for Background Subtraction
,
2000,
ECCV.