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dc.contributor.authorDellen, Babette
dc.contributor.authorHusain, Syed Farzad
dc.contributor.authorTorras, Carme
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2014-04-22T17:53:39Z
dc.date.available2014-04-22T17:53:39Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationDellen, B.; Husain, S.; Torras, C. Joint segmentation and tracking of object surfaces in depth movies along human/robot manipulations. A: International Conference on Computer Vision Theory and Applications. "VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications". Barcelona: 2013, p. 244-251.
dc.identifier.urihttp://hdl.handle.net/2117/22647
dc.description.abstractA novel framework for joint segmentation and tracking in depth videos of object surfaces is presented. Initially, the 3D colored point cloud obtained using the Kinect camera is used to segment the scene into surface patches, defined by quadratic functions. The computed segments together with their functional descriptions are then used to partition the depth image of the subsequent frame in a consistent manner with respect to the precedent frame. This way, solutions established in previous frames can be reused which improves the efficiency of the algorithm and the coherency of the segmentations along the movie. The algorithm is tested for scenes showing human and robot manipulations of objects. We demonstrate that the method can successfully segment and track the human/robot arm and object surfaces along the manipulations. The performance is evaluated quantitatively by measuring the temporal coherency of the segmentations and the segmentation covering using ground truth. The method provides a visual front-end designed for robotic applications, and can potentially be used in the context of manipulation recognition, visual servoing, and robot-grasping tasks
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::Informàtica::Robòtica
dc.subject.lcshRobotics
dc.subject.otherJoint segmentation
dc.subject.otherMotion
dc.subject.otherRange data
dc.subject.otherRobot manipulation
dc.subject.otherRobotic applications
dc.subject.otherShape
dc.subject.otherSurface fitting
dc.subject.otherTemporal coherency
dc.titleJoint segmentation and tracking of object surfaces in depth movies along human/robot manipulations
dc.typeConference report
dc.subject.lemacRobòtica
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Automation::Robots
dc.relation.publisherversionhttp://www.engineeringvillage.com/search/doc/detailed.url?SEARCHID=5e2cbba413fee8dcf9dM1faaprod3con1&pageType=quickSearch&CID=quickSearchDetailedFormat&DOCINDEX=1&database=67&format=quickSearchDetailedFormat&tagscope=&displayPagination=yes
dc.rights.accessOpen Access
drac.iddocument12669669
dc.description.versionPostprint (author’s final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/247947/EU/Gardening with a Cognitive System/GARNICS
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/269959/EU/Intelligent observation and execution of Actions and manipulations/INTELLACT
upcommons.citation.authorDellen, B.; Husain, S.; Torras, C.
upcommons.citation.contributorInternational Conference on Computer Vision Theory and Applications
upcommons.citation.pubplaceBarcelona
upcommons.citation.publishedtrue
upcommons.citation.publicationNameVISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
upcommons.citation.startingPage244
upcommons.citation.endingPage251


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