Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
A Method to Detect and Characterize Ellipses Using the Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure analysis of soccer video with domain knowledge and hidden Markov models
Pattern Recognition Letters - Video computing
A Generic Framework for Semantic Sports Video Analysis Using Dynamic Bayesian Networks
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Event detection in field sports video using audio-visual features and a support vector Machine
IEEE Transactions on Circuits and Systems for Video Technology
A review of vision-based systems for soccer video analysis
Pattern Recognition
The retrieval of motion event by associations of temporal frequent pattern growth
Future Generation Computer Systems
Video visualization for snooker skill training
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Features extraction for soccer video semantic analysis: current achievements and remaining issues
Artificial Intelligence Review
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During soccer matches a number of doubtful situations arise that cannot be easily judged by the referee committee. An automatic visual system that checks objectively image sequences would prevent wrong interpretations due to perspective errors, occlusions, or high velocity of the events. In this work we present a real time visual system for goal detection. Four cameras with high frame rates (200fps) are placed on the two sides of the goal lines. Four computers process the images acquired by the cameras detecting the ball position in real time; the processing result is sent to a central supervisor which evaluates the goal event probability and, when the goal is detected, forwards a warning signal to the referee that takes the final decision.