{"id":151503,"date":"1999-10-01T00:00:00","date_gmt":"1999-10-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/a-pre-analysis-method-for-robust-global-motion-estimation\/"},"modified":"2018-10-16T20:58:44","modified_gmt":"2018-10-17T03:58:44","slug":"a-pre-analysis-method-for-robust-global-motion-estimation","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/a-pre-analysis-method-for-robust-global-motion-estimation\/","title":{"rendered":"A Pre-analysis Method for Robust Global Motion Estimation"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In this paper, we present a new approach for robust global motion estimation based on pre-analysis of the video content. The novel idea is to do pre-analysis of scene content based on the STGS (Spatial Temporal Gradient Scale) images derived from original image sequences. Different motion models and estimation will be applied to different classes of image sequences. As a result, ourliers can be removed from the dominant motion estimation, overcoming the problem of inaccurate initial descending direction estimation associated with the classical global motion estimation methods<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we present a new approach for robust global motion estimation based on pre-analysis of the video content. The novel idea is to do pre-analysis of scene content based on the STGS (Spatial Temporal Gradient Scale) images derived from original image sequences. Different motion models and estimation will be applied to different classes [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Institute of Electrical and Electronics Engineers, Inc.","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 1999 IEEE. Personal use of this material is permitted. However, permission to reprint\/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"HongJiang Zhang, Qi Wei, YuZhuo 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