Regressed Importance Sampling on Manifolds for Efficient Object Tracking

dc.contributor.authorPorikli, Fatih
dc.contributor.authorPan, Pan
dc.coverage.spatialGenova
dc.date.accessioned2015-12-08T22:20:20Z
dc.date.createdSeptember 2-4 2009
dc.date.issued2009
dc.date.updated2016-06-14T09:06:58Z
dc.identifier.isbn9780769537184
dc.identifier.urihttp://hdl.handle.net/1885/31945
dc.publisherIEEE
dc.relation.ispartofseries6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
dc.source6th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2009
dc.subjectKeywords: Importance sampling; Integrated particle filters; Lie Algebra; Mapping functions; Object Tracking; Offline; Particle filter; Pose manifold; Tracking performance; Video object tracking; Air filters; Algebra; Distributed computer systems; Nonlinear filterin
dc.titleRegressed Importance Sampling on Manifolds for Efficient Object Tracking
dc.typeConference paper
local.bibliographicCitation.lastpage411
local.bibliographicCitation.startpage406
local.contributor.affiliationPorikli, Fatih, College of Engineering and Computer Science, ANU
local.contributor.affiliationPan, Pan, University of Illinois at Chicago
local.contributor.authoruidPorikli, Fatih, u5405232
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4628727xPUB87
local.identifier.doi10.1109/AVSS.2009.95
local.identifier.scopusID2-s2.0-72349092846
local.type.statusPublished Version

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