Paper Info
Title
Motion detection and tracking for an AIBO robot using camera motion compensation and kalman filtering
Abstract
Motion detection and tracking while moving is a desired ability for any soccer player. For instance, this ability allows the determination of the ball trajectory when the player is moving himself or when he is moving his head, for making or planning a soccer-play. If a robot soccer player should have a similar functionality, then it requires an algorithm for real-time movement analysis and tracking that performs well when the camera is moving. The aim of this paper is to propose such an algorithm for an AIBO robot. The proposed algorithm uses motion compensation for having a stabilized background, where the movement is detected, and Kalman Filtering for a robust tracking of the moving objects. The algorithm can be adapted for almost any kind of mobile robot. Results of the motion detection and tracking algorithm, working in real-world video sequences, are shown.
Year
DOI
Venue
2004
10.1007/978-3-540-32256-6_59
RobuCup
Keywords
Field
DocType
soccer player,mobile robot,real-time movement analysis,robot soccer player,motion detection,kalman filtering,motion compensation,robust tracking,camera motion compensation,proposed algorithm,aibo robot,real time,kalman filter
Computer vision,Motion detection,Simulation,Computer science,Motion compensation,Kalman filter,AIBO,Artificial intelligence,Motion estimation,Robot,Mobile robot,Match moving
Conference
Volume
ISSN
ISBN
3276
0302-9743
3-540-25046-8
Citations 
PageRank 
References 
9
0.65
5
Authors
2
Name
Order
Citations
PageRank
Javier Ruiz-del-Solar1865105.92
Paul A. Vallejos2141.41