Paper Info
Title
Ball Detection for Robotic Soccer: A Real-Time RGB-D Approach.
Abstract
The robotic football competition has encouraged the participants to develop new ways of solving different problems in order to succeed in the competition. This article shows a different approach to the ball detection and recognition by the robot using a Kinect System. It has enhanced the capabilities of the depth camera in detecting and recognizing the ball during the football match. This is important because it is possible to avoid the noise that the RGB cameras are subject to for example lighting issues.
Year
DOI
Venue
2015
10.1007/978-3-319-27149-1_44
ROBOT 2015: SECOND IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 2
Keywords
Field
DocType
Image processing,Kalman filter,Kinect,Robotic football
Computer vision,Football,Computer science,Image processing,Kalman filter,RGB color model,Artificial intelligence,Robot
Conference
Volume
ISSN
Citations 
418
2194-5357
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
André Morais100.68
Pedro Costa2157.27
José Luis Lima321.14