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dc.contributor.authorNadarajah, Sivadev
dc.contributor.authorSundaraj, Kenneth, Prof. Dr.
dc.date.accessioned2014-04-06T15:53:50Z
dc.date.available2014-04-06T15:53:50Z
dc.date.issued2013
dc.identifier.citationArtificial Intelligence Review, 2013, pages 1-23en_US
dc.identifier.issn0269-2821 (Print)
dc.identifier.issn1573-7462 (Online)
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/33441
dc.descriptionLink to publisher's homepage at http://link.springer.com/en_US
dc.description.abstractThis paper will give readers an overview of the vision system used on Robot Soccer systems. Firstly, it lists out the positioning of the cameras that are used on a robot soccer system both for FIRA and RoboCup. Here various position of camera placement is explained; among them are the global and local visions. This is further broken down to center and side positioning for global vision. For local vision, it is divided into three, namely omni-directional, binocular/stereo and monocular. Next, image processing algorithms will be explained and related reference with their advantages and disadvantages. The reviewed algorithms are Kalman Filter, CamShift and Optical Flow. Brief description of each algorithm is also included.en_US
dc.language.isoenen_US
dc.publisherSpringer Science+Business Media Dordrechten_US
dc.subjectCAM shiften_US
dc.subjectCamera placementen_US
dc.subjectGlobal visionen_US
dc.subjectImage processingen_US
dc.subjectKalman filteren_US
dc.subjectLocal visionen_US
dc.subjectOptical flowen_US
dc.titleVision in robot soccer: a reviewen_US
dc.typeArticleen_US
dc.identifier.url10.1007/s10462-013-9401-3
dc.identifier.urlhttp://link.springer.com/article/10.1007/s10462-013-9401-3
dc.contributor.urljspbro@gmail.comen_US
dc.contributor.urlkenneth@unimap.edu.myen_US


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