MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Ball route estimation under heavy occlusion in broadcast soccer video
Computer Vision and Image Understanding
A three-level scheme for real-time ball tracking
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Players and ball detection in soccer videos based on color segmentation and shape analysis
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Playfield and ball detection in soccer video
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Robust recognition of specific human behaviors in crowded surveillance video sequences
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
International Journal of Multimedia Data Engineering & Management
Human gesture recognition system for TV viewing using time-of-flight camera
Multimedia Tools and Applications
Forward non-rigid motion tracking for facial MoCap
The Visual Computer: International Journal of Computer Graphics
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It is challenging to detect and track the ball from the broadcast soccer video. The feature-based tracking method to judge if a sole object is a target are inadequate because the features of the balls change fast over frames and we cannot differ the ball from other objects by them. This paper proposes a new framework to find the ball position by creating and analyzing the trajectory. The ball trajectory is obtained from the candidate collection by use of the heuristic false candidate reduction, the Kalman filter-based trajectory mining, and the trajectory evaluation. The ball trajectory is extended via a localized Kalman filter-based model matching procedure. The experimental results on two consecutive 1000-frame sequences illustrate that the proposed framework is very effective and can obtain a very high accuracy that is much better than existing methods.