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dc.contributor.advisorHe, Zhihai, 1973-eng
dc.contributor.authorJaganathan, Venkata Krishnaneng
dc.date.issued2007eng
dc.date.submitted2007 Falleng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file (viewed on April 15, 2008)eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2007.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Electrical engineering.eng
dc.description.abstract[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Motion estimation is a very important step in many video processing tasks, including video compression, object tracking, and etc. A video may experience both global motion and local object motion. Global motion includes camera rotation, zooming, and changes in camera location and perspectives. In this thesis, we study different robust motion estimation techniques, such as block matching, motion intensity profile technique, and global motion estimation. Block matching has been widely used for motion estimation in video compression. This approach performs very well when there is only translational motion in the video sequence and fails in other types of camera motions, such as rotation and zooming. To address this issue, we propose a new motion search technique, called intensity profile. It characterizes a pixel using the intensity distribution in its neighborhood. Based on this intensity profile, we develop a distance metric for local motion estimation. This scheme can be further extended for global camera estimation. Our extensive experimental results demonstrate that the proposed motion estimation scheme based on intensity profile outperforms conventional block matching algorithm.eng
dc.identifier.merlinb63066051eng
dc.identifier.oclc224038627eng
dc.identifier.urihttps://hdl.handle.net/10355/6032
dc.identifier.urihttps://doi.org/10.32469/10355/6032eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.rightsAccess is limited to the campuses of the University of Missouri.eng
dc.subject.lcshMotion -- Estimateseng
dc.subject.lcshVideo compressioneng
dc.subject.lcshRobust controleng
dc.titleRobust motion estimation techniqueseng
dc.typeThesiseng
thesis.degree.disciplineElectrical engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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