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dc.contributor.authorMozerov, Mikhail
dc.contributor.authorAmato, Ariel
dc.contributor.authorRoca, Francesc Xavier
dc.contributor.authorGonzàlez, Jordi
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.identifier.citationMozerov, Mikhail; Amato, Ariel; Roca, F. Xavier; Gonzàlez, Jordi. "Trajectory occlusion handling with multiple view distance minimization clustering". Optical engineering, 2008, vol. 47, p. 2021-2029.
dc.description.abstractA robust and efficient method for overcoming the negative effects of long-time occlusion in the tracking process is presented. The proposed approach is based on the matching of multiple trajectories in time. Trajectories are sets of 2-D points in time and in a joint ground plane of the world coordinate system. In order to avoid mismatches due to possible measurement outliers, we introduce an integral distance between compared trajectories. The proposed method can also be considered as an interpolation algorithm for a disconnected trajectory during the blackout. Thus this technique solves one of the most difficult problems of occlusion handling: the matching of two unconnected parts of the same trajectory.
dc.format.extentp. 2021-2029
dc.publisherS P I E - International Society for Optical Engineering
dc.relation.ispartofOptical engineering
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshComputer vision
dc.subject.othermotion analysis
dc.subject.othertrajectory tracking
dc.subject.otherocclusion handling
dc.titleTrajectory occlusion handling with multiple view distance minimization clustering
dc.subject.lemacVisió per ordinador
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition::Computer vision
dc.rights.accessOpen Access
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/216709/EU/HERMES - Cognitive Care and Guidance for Active Aging/HERMES

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