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dc.contributor.authorAksoy, Eren Erdal
dc.contributor.authorAbramov, Alexey
dc.contributor.authorWörgötter, Florentin
dc.contributor.authorDellen, Babette
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2010-11-22T19:06:37Z
dc.date.available2010-11-22T19:06:37Z
dc.date.created2010
dc.date.issued2010
dc.identifier.citationAksoy , E. [et al.]. Categorizing object-actions relations from semantic scene graphs. A: IEEE International Conference on Robotics and Automation. "2010 IEEE International Conference on Robotics and Automation". Anchorage: 2010, p. 398-405.
dc.identifier.urihttp://hdl.handle.net/2117/10367
dc.description.abstractIn this work we introduce a novel approach for detecting spatiotemporal object-action relations, leading to both, action recognition and object categorization. Semantic scene graphs are extracted from image sequences and used to find the characteristic main graphs of the action sequence via an exact graph-matching technique, thus providing an event table of the action scene, which allows extracting objectaction relations. The method is applied to several artificial and real action scenes containing limited context. The central novelty of this approach is that it is model free and needs a priori representation neither for objects nor actions. Essentially actions are recognized without requiring prior object knowledge and objects are categorized solely based on their exhibited role within an action sequence. Thus, this approach is grounded in the affordance principle, which has recently attracted much attention in robotics and provides a way forward for trial and error learning of object-action relations through repeated experimentation. It may therefore be useful for recognition and categorization tasks for example in imitation learning in developmental and cognitive robotics.
dc.format.extent8 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subject.lcshPattern recognition systems
dc.subject.otherautomation pattern recognition PARAULES CLAU/AUTOR: object-action categorization
dc.titleCategorizing object-actions relations from semantic scene graphs
dc.typeConference report
dc.subject.lemacReconeixement de formes (Informàtica)
dc.identifier.doi10.1109/ROBOT.2010.5509319
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition::Object recognition
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ROBOT.2010.5509319
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac3686097
dc.description.versionPostprint (published version)
local.citation.authorAksoy , E.; Abramov, A.; Wörgötter , F.; Dellen, B.
local.citation.contributorIEEE International Conference on Robotics and Automation
local.citation.pubplaceAnchorage
local.citation.publicationName2010 IEEE International Conference on Robotics and Automation
local.citation.startingPage398
local.citation.endingPage405


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