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Motion segmentation for feature association

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dc.contributor.authorPace, Weston Clement, author
dc.contributor.authorDraper, Bruce, advisor
dc.contributor.authorBeveridge, Ross, committee member
dc.contributor.authorHayne, Stephen, committee member
dc.date.accessioned2007-01-03T04:52:28Z
dc.date.available2007-01-03T04:52:28Z
dc.date.issued2010
dc.description.abstractIn a feature based system physical objects are represented as spatial groups of features. Systems which hope to operate on objects must make associations between features that belong on the same physical object. This paper segments interest points in individual frames of an image sequence using motion models based on image transformations. Experiments evaluate the associations made by these segments against ground truth data. We give an improved version of the existing algorithm which can lead to easier threshold selection in some systems although the ideal threshold is shown to depend on the goal of the segmentation. Lastly we show that the underlying motion of the object is not the only factor in determining the performance of the segmentation.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierPace_colostate_0053N_10151.pdf
dc.identifierETDF2010200119COMS
dc.identifier.urihttp://hdl.handle.net/10217/44970
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectmotion segmentation
dc.subjectfeature association
dc.subjectcomputer vision
dc.subjectComputer vision
dc.titleMotion segmentation for feature association
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineComputer Science
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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