{"id":151444,"date":"2000-04-01T00:00:00","date_gmt":"2000-04-01T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/automatic-extraction-of-moving-objects-using-multiple-features-and-multiple-frames\/"},"modified":"2018-10-16T20:46:35","modified_gmt":"2018-10-17T03:46:35","slug":"automatic-extraction-of-moving-objects-using-multiple-features-and-multiple-frames","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/automatic-extraction-of-moving-objects-using-multiple-features-and-multiple-frames\/","title":{"rendered":"Automatic Extraction of Moving objects Using Multiple Features and Multiple Frames"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This paper introduces a novel automatic video object extraction algorithm based on combination of color and motion segmentation results. The algorithm includes five parts: pre-processing, color segmentation, motion segmentation, combination of color and motion segmentation of multiple frames, post-processing. The performance of this algorithm is very promising, resulting in pixel-wise accuracy of extracted objects. Since it is an automatic extraction algorithm, it can be very useful in some real time video processing system based on video objects.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper introduces a novel automatic video object extraction algorithm based on combination of color and motion segmentation results. The algorithm includes five parts: pre-processing, color segmentation, motion segmentation, combination of color and motion segmentation of multiple frames, post-processing. The performance of this algorithm is very promising, resulting in pixel-wise accuracy of extracted objects. Since [&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 2000 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":"Li Jinhui 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