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
A Ball Detection Algorithm for Real Soccer Image Sequences
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Live Mixed-Reality 3D Video in Soccer Stadium
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Synthesizing Free-Viewpoint Images from Multiple View Videos in Soccer Stadium
CGIV '06 Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Real-time soccer player tracking method by utilizing shadow regions
Proceedings of the international conference on Multimedia
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We propose an adaptive method that can estimate 3D position of a soccer ball by using two viewpoint videos. The 3D position of a ball is essential to realize a 3D free viewpoint browsing system and to analyze of soccer games. At an image processing step, our method detects the ball by selecting the best algorithm based on the ball states so as to minimize the chance to miss the ball and to reduce the computation cost. The 3D position of the ball is then estimated by the estimated 2D positions of the two camera images. When it is impossible to obtain the 3D position due to the loss of the ball in an image, we utilize the Kalman Filter to compensate the missing position information and predict the 3D ball position. We implemented a preliminary system and succeeded in tracking the ball in 3D at almost on-line speed.