{"id":{"repo_id":"missouri","oai_identifier":"oai:mospace.umsystem.edu:10355/6032"},"canonical_url":"https://search.dev.ndltd.org/etd/missouri/oai:mospace.umsystem.edu:10355/6032","repository":{"repo_id":"missouri","name":"University of Missouri","base_url":"https://mospace.umsystem.edu/oai/request"},"display":{"title":"Robust motion estimation techniques","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.","abstract_html":"[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.","abstract_has_math":false,"creators":["Jaganathan, Venkata Krishnan"],"institution":"University of Missouri--Columbia","degree_name":"M.S.","degree_level":"Masters","degree_discipline":"Electrical and computer engineering (MU)","degree_department":null,"school":null,"contributors":[],"advisors":["He, Zhihai, 1973-"],"committee_chairs":[],"committee_members":[],"year":2007,"date_issued":"2007","date_published":"2007","updated_at":"2026-07-24T03:07:01Z","subjects":[],"languages":["eng","English"],"rights":["Access to files is limited to the campuses of the University of Missouri with SSO login."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.32469/10355/6032"],"render_values":[{"text":"https://doi.org/10.32469/10355/6032","href":"https://doi.org/10.32469/10355/6032","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10355/6032","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["He, Zhihai, 1973-"]},{"key":"dc:creator","label":"Author","values":["Jaganathan, Venkata Krishnan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2010-02-24T19:31:15Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2010-02-24T19:31:15Z"]},{"key":"dc:date.issued","label":"Date","values":["2007"]},{"key":"dc:publisher","label":"Institution","values":["University of Missouri--Columbia"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and computer engineering (MU)"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Missouri--Columbia"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Access to files is limited to the campuses of the University of Missouri with SSO login."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.32469/10355/6032"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10355/6032"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The 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.","Title from title screen of research.pdf file (viewed on April 15, 2008)","Includes bibliographical references.","Thesis (M.S.) 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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."]},{"key":"dc:title","label":"Title","values":["Robust motion estimation techniques"]}]}],"canonical_facts":{"dc:contributor.advisor":["He, Zhihai, 1973-"],"dc:creator":["Jaganathan, Venkata Krishnan"],"dc:date.accessioned":["2010-02-24T19:31:15Z"],"dc:date.available":["2010-02-24T19:31:15Z"],"dc:date.issued":["2007"],"dc:description":["The 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.","Title from title screen of research.pdf file (viewed on April 15, 2008)","Includes bibliographical references.","Thesis (M.S.) 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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."],"dc:identifier.doi":["https://doi.org/10.32469/10355/6032"],"dc:identifier.uri":["https://hdl.handle.net/10355/6032"],"dc:language":["English"],"dc:language.iso":["eng"],"dc:publisher":["University of Missouri--Columbia"],"dc:rights":["Access to files is limited to the campuses of the University of Missouri with SSO login."],"dc:title":["Robust motion estimation techniques"],"dc:type":["Thesis"],"thesis:degree_discipline":["Electrical and computer engineering (MU)"],"thesis:degree_level":["Masters"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Missouri--Columbia"]},"updated_at":"2026-07-24T03:07:01Z"}