Optical Flow Estimation using Fourier Mellin Transform

dc.contributor.authorHo, Huy Tho
dc.contributor.authorGoecke, Roland
dc.coverage.spatialAnchorage Alaska
dc.date.accessioned2015-12-07T22:53:02Z
dc.date.createdJune 24-26 2008
dc.date.issued2008
dc.date.updated2015-12-07T12:36:05Z
dc.description.abstractIn this paper, we propose a novel method of computing the optical flow using the Fourier Mellin Transform (FMT). Each image in a sequence is divided into a regular grid of patches and the optical flow is estimated by calculating the phase correlation of each pair of co-sited patches using the FMT. By applying the FMT in calculating the phase correlation, we are able to estimate not only the pure translation, as limited in the case of the basic phase correlation techniques, but also the scale and rotation motion of image patches, i.e. full similarity transforms. Moreover, the motion parameters of each patch can be estimated to subpixel accuracy based on a recently proposed algorithm that uses a 2D esinc function in fitting the data from the phase correlation output. We also improve the estimation of the optical flow by presenting a method of smoothing the field by using a vector weighted average filter. Finally, experimental results, using publicly available data sets are presented, demonstrating the accuracy and improvements of our method over previous optical flow methods.
dc.identifier.isbn9781424422432
dc.identifier.urihttp://hdl.handle.net/1885/27682
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesComputer Vision and Pattern Recognition Conference (CVPR 2008)
dc.sourceProceedings of CVPR 2008
dc.subjectKeywords: Artificial intelligence; Computer vision; Correlation methods; Estimation; Feature extraction; Fourier transforms; Hearing aids; Image processing; Image registration; Mathematical transformations; Optical correlation; Parameter estimation; Pattern recogni
dc.titleOptical Flow Estimation using Fourier Mellin Transform
dc.typeConference paper
local.bibliographicCitation.lastpage8
local.bibliographicCitation.startpage1
local.contributor.affiliationHo, Huy Tho, University of Adelaide
local.contributor.affiliationGoecke, Roland, College of Engineering and Computer Science, ANU
local.contributor.authoremailu9812468@anu.edu.au
local.contributor.authoruidGoecke, Roland, u9812468
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu2505865xPUB53
local.identifier.doi10.1109/CVPR.2008.4587553
local.identifier.scopusID2-s2.0-51949116819
local.identifier.uidSubmittedByu2505865
local.type.statusPublished Version

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