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dc.contributor.authorEstivill-Castro, Vladimiren_US
dc.contributor.authorLovell, Nathanen_US
dc.contributor.editorDaniele Nardi, Martin Riedmiller, Claude Sammut, José Santos-Victoren_US
dc.date.accessioned2017-04-04T19:09:44Z
dc.date.available2017-04-04T19:09:44Z
dc.date.issued2005en_US
dc.date.modified2009-05-06T08:15:05Z
dc.identifier.doi10.1007/978-3-540-32256-6_50en_AU
dc.identifier.urihttp://hdl.handle.net/10072/22850
dc.description.abstractObject recognition systems contain a large amount of highly specific knowledge tailored to the objects in the domain of interest. Not only does the system require information for each object in the recognition process, it may require entirely different vision processing techniques. Generic programming for vision processing tasks is hard since systems on-board a mobile robots have strong performance requirements. Such issues as keeping up with incoming frames from a camera limit the layers of abstraction that can be applied. This results in software that is customized to the domain at hand, that is difficult to port to other applications and that is not particularly robust to changes in the visual environment. In this paper we describe a high level object definition language that removes the domain specific knowledge from the implementation of the object recognition system. The language has features of object-orientation and logic, being more declarative and less imperative. We present an implementation of the language efficient enough to be used on a Sony AIBO in the Robocup Four-Legged league competition and several illustrations of its use to rapidly adjust to new environments through quickly crafted object definitions.en_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeBerlinen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameInternational Symposium RoboCup 2004en_US
dc.relation.ispartofconferencetitleRoboCup 2004: Robot Soccer World Cup VIIIen_US
dc.relation.ispartofdatefrom2004-07-04en_US
dc.relation.ispartofdateto2004-07-05en_US
dc.relation.ispartoflocationLisbon, Portugalen_US
dc.rights.retentionNen_AU
dc.subject.fieldofresearchcode280208en_US
dc.titleA Descriptive Language for Flexible and Robust Object Recognitionen_US
dc.typeConference outputen_US
dc.type.descriptionE2 - Conference Publications (Non HERDC Eligible)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.date.issued2005
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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