MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Pitching a baseball: tracking high-speed motion with multi-exposure images
ACM SIGGRAPH 2004 Papers
Survey of sports video analysis: research issues and applications
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Determining Radius and Position of a Sphere from a Single Catadioptric Image
Journal of Intelligent and Robotic Systems
Ball detection from broadcast soccer videos using static and dynamic features
Journal of Visual Communication and Image Representation
An Automated Refereeing and Analysis Tool for the Four-Legged League
RoboCup 2006: Robot Soccer World Cup X
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
3D tracking of a soccer ball using two synchronized cameras
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
A scheme for ball detection and tracking in broadcast soccer video
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Features extraction for soccer video semantic analysis: current achievements and remaining issues
Artificial Intelligence Review
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A large number of methods for circle detection has been studied in the last years for numerous image processing applications. The application domain considered in this paper is the soccer game. To identify the ball in soccer images is very important in order to evaluate the goal event. This domain is challenging as a great number of problems has to be managed, such as occlusions, shadows, objects similar to the ball, real time processing. Aim of this work is to present the results of a number of experiments obtained by using a modified version of the directional Circle Hough Transform. Different lighting conditions have been considered since they introduce strong modifications on the appearance of the ball in the image: when the image sequences are taken with natural light the ball appears as a spherical cap then the search of the ball has been modified in order to manage those situations. A large number of experiments has been carried out showing that the proposed method obtains an high detection score.