On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing
Where Are the Ball and Players? Soccer Game Analysis with Color Based Tracking and Image Mosaick
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
An Effective and Fast Soccer Ball Detection and Tracking Method
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
IEEE Transactions on Circuits and Systems for Video Technology
A review of vision-based systems for soccer video analysis
Pattern Recognition
Camera calibration in sport event scenarios
Pattern Recognition
Hi-index | 0.00 |
This paper focuses on soccer ball tracking which is known to be more difficult than that of players due to its small size in an image and abrupt changes in its motion. Suggested is an effective soccer ball tracking algorithm which estimates ball position by exploiting the background image and player tracking results. In other words, the trajectory of ball is derived as image blobs by eliminating player blobs and the background parts from an image sequence. This algorithm performed well on a pretty long TV broadcast sequence in which the ball is frequently occluded by players.