Show simple item record

dc.contributor.authorLovell, N
dc.contributor.authorEstivill-Castro, V
dc.contributor.editorNardi, D
dc.contributor.editorRiedmiller, M
dc.contributor.editorSammut, C
dc.contributor.editorSantosVictor, J
dc.date.accessioned2017-05-03T14:15:50Z
dc.date.available2017-05-03T14:15:50Z
dc.date.issued2005
dc.date.modified2009-05-06T08:15:05Z
dc.identifier.isbn3-540-25046-8
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-540-32256-6_50
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.
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeBerlin
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename8th International RoboCup Symposium
dc.relation.ispartofconferencetitleROBOCUP 2004: ROBOT SOCCER WORLD CUP VIII
dc.relation.ispartofdatefrom2004-06-27
dc.relation.ispartofdateto2004-07-05
dc.relation.ispartoflocationInst Superior Tecnico, Lisbon, PORTUGAL
dc.relation.ispartofpagefrom540
dc.relation.ispartofpagefrom8 pages
dc.relation.ispartofpageto547
dc.relation.ispartofpageto8 pages
dc.relation.ispartofvolume3276
dc.rights.retentionN
dc.subject.fieldofresearchcode280208
dc.titleA Descriptive Language for Flexible and Robust Object Recognition
dc.typeConference output
dc.type.descriptionE2 - Conferences (Non Refereed)
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.date.issued2005
gro.hasfulltextNo Full Text
gro.griffith.authorEstivill-Castro, Vladimir
gro.griffith.authorLovell, Nathan H.


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

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

Show simple item record