Paper Info
Title
Real-time ball tracking in a semi-automated foosball table
Abstract
In this article a method is proposed for ball tracking using 100 Hz computer vision in a semi-automated foosball table. In this application the behavior of the ball is highly dynamic with speeds up to 10 m/s and frequent bounces occur against the sides of the table and the puppets. Moreover, in the overhead camera view of the field the ball is often fully or partially occluded and there are other objects present that resemble the ball. The table is semi-automated to enable single user game play. This article shows that it is possible to perform fast and robust ball tracking by combining efficient image processing algorithms with a priori knowledge of the stationary environment and position information of the automated rods.
Year
DOI
Venue
2009
10.1007/978-3-642-11876-0_12
RoboCup 2009
Keywords
Field
DocType
objects present,position information,real-time ball tracking,frequent bounce,efficient image processing algorithm,robust ball tracking,ball tracking,semi-automated foosball table,automated rod,overhead camera view,hz computer vision,image processing,visual servoing,computer vision,a priori knowledge,perspective projection,real time systems,real time,object tracking
Computer vision,Computer graphics (images),Simulation,Computer science,A priori and a posteriori,Perspective (graphical),Ball tracking,Kalman observer,Video tracking,Artificial intelligence,Visual servoing,Digital image processing
Conference
Volume
ISSN
ISBN
5949
0302-9743
3-642-11875-5
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Rob Janssen151.16
Jeroen de Best231.12
René van de Molengraft319423.48