Live 3D Video in Soccer Stadium
International Journal of Computer Vision
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Ball detection from broadcast soccer videos using static and dynamic features
Journal of Visual Communication and Image Representation
Automatic soccer players tracking in goal scenes by camera motion elimination
Image and Vision Computing
Ball route estimation under heavy occlusion in broadcast soccer video
Computer Vision and Image Understanding
Visually tracking football games based on TV broadcasts
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Generic 3-d modeling for content analysis of court-net sports sequences
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
Strategy diagram for identifying play strategies in multi-view soccer video data
DS'06 Proceedings of the 9th international conference on Discovery Science
Tactic analysis based on real-world ball trajectory in soccer video
Pattern Recognition
Self-calibration based 3d information extraction and application in broadcast soccer video
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Particle filter based tracking of moving object from image sequence
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
A clustering method for spatio-temporal data and its application to soccer game records
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Tracking soccer ball in TV broadcast video
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
A method for identification of moving objects by integrative use of a camera and accelerometers
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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To recognize and retrieve soccer game scenes, the movement of the players and the ball must be analyzed. This paper describes a method of tracking the players and the ball and estimating their 3D positions from video images recorded from TV broadcasting. Our system detects the players and tracks them by predicting their motions. Our system determines the ball from among ball candidates by considering the motion continuity of the ball. The camera parameters (pan, tilt, and zoom) are estimated by detecting line regions on the field in every frame and by matching them to the model. Because our method uses not only straight lines but also circular ones for the matching, it can be applied to the whole area of the field. Our system also estimates the 3D position of the ball by fitting a 3D physical model to the observed ball trajectory. The effectiveness of the method is shown by experiments with actual image sequences.