A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Naive Bayesian Classification of Structured Data
Machine Learning
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Soccer video processing for the detection of advertisement billboards
Pattern Recognition Letters
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Ball detection from broadcast soccer videos using static and dynamic features
Journal of Visual Communication and Image Representation
Automatic player detection, labeling and tracking in broadcast soccer video
Pattern Recognition Letters
Tracking the soccer ball using multiple fixed cameras
Computer Vision and Image Understanding
A Semi-automatic System for Ground Truth Generation of Soccer Video Sequences
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
MuLVAT: A Video Annotation Tool Based on XML-Dictionaries and Shot Clustering
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
A review of vision-based systems for soccer video analysis
Pattern Recognition
Self-Similarity and Points of Interest
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-goal scene analysis for soccer video
Neurocomputing
Generalized playfield segmentation of sport videos using color features
Pattern Recognition Letters
Automatic initialization for 3D soccer player tracking
Pattern Recognition Letters
Trajectory-Based Ball Detection and Tracking in Broadcast Soccer Video
IEEE Transactions on Multimedia
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Soccer ball detection by comparing different feature extraction methodologies
Advances in Artificial Intelligence
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Automatic sport video analysis has became one of the most attractive research fields in the areas of computer vision and multimedia technologies. In particular, there has been a boom in soccer video analysis research. This paper presents a new multi-step algorithm to automatically detect the soccer ball in image sequences acquired from static cameras. In each image, candidate ball regions are selected by analyzing edge circularity and then ball patterns are extracted representing locally affine invariant regions around distinctive points which have been highlighted automatically. The effectiveness of the proposed methodologies is demonstrated through a huge number of experiments using real balls under challenging conditions, as well as a favorable comparison with some of the leading approaches from the literature.