{"id":"https://openalex.org/W2111372620","doi":"https://doi.org/10.1109/cvpr.2003.1211335","title":"What went where [motion segmentation]","display_name":"What went where [motion segmentation]","publication_year":2003,"publication_date":"2003-11-04","ids":{"openalex":"https://openalex.org/W2111372620","doi":"https://doi.org/10.1109/cvpr.2003.1211335","mag":"2111372620"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084844323","display_name":"Josh Wills","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Wills","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, La Jolla, CA, USA","Dept. of Comput. Sci. & Eng., Univ. of California, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Univ. of California, La Jolla, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003985505","display_name":"Sameer Agarwal","orcid":"https://orcid.org/0000-0003-0315-2272"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Agarwal","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, La Jolla, CA, USA","Dept. of Comput. Sci. & Eng., Univ. of California, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Univ. of California, La Jolla, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018609918","display_name":"Serge Belongie","orcid":"https://orcid.org/0000-0002-0388-5217"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Belongie","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, La Jolla, CA, USA","Dept. of Comput. Sci. & Eng., Univ. of California, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Univ. of California, La Jolla, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084844323"],"corresponding_institution_ids":["https://openalex.org/I161318765","https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.0677,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78855157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7365325689315796},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.7023633718490601},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6931543350219727},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6140019297599792},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5956974625587463},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.5848397612571716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787408947944641},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5541554689407349},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.46778547763824463},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.46017566323280334},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.4551035463809967},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4307985305786133},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4303140342235565},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.42901793122291565},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42644357681274414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42330414056777954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3594820499420166}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365325689315796},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.7023633718490601},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6931543350219727},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6140019297599792},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5956974625587463},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.5848397612571716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787408947944641},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5541554689407349},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.46778547763824463},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.46017566323280334},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.4551035463809967},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4307985305786133},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4303140342235565},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.42901793122291565},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42644357681274414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42330414056777954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3594820499420166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2003.1211335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1676552347","https://openalex.org/W1949708275","https://openalex.org/W1991605728","https://openalex.org/W2002875082","https://openalex.org/W2016598597","https://openalex.org/W2085261163","https://openalex.org/W2097099938","https://openalex.org/W2106883675","https://openalex.org/W2129899052","https://openalex.org/W2131398766","https://openalex.org/W2143516773","https://openalex.org/W2169903983","https://openalex.org/W6637324600"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2130582613","https://openalex.org/W1988727984","https://openalex.org/W1484667368","https://openalex.org/W2026674073","https://openalex.org/W2120943489","https://openalex.org/W2012241496","https://openalex.org/W13825435","https://openalex.org/W2154342456","https://openalex.org/W2105413810"],"abstract_inverted_index":{"We":[0,18,47,72],"present":[1],"a":[2,49,60,67],"framework":[3],"for":[4],"motion":[5,16,57,82,104],"segmentation":[6,105],"that":[7],"combines":[8],"the":[9,20,100],"concepts":[10],"of":[11,26,42,45,54,102],"layer-based":[12,103],"methods":[13],"and":[14,83,90],"feature-based":[15],"estimation.":[17],"estimate":[19],"initial":[21],"correspondences":[22],"by":[23],"comparing":[24],"vectors":[25],"filter":[27],"outputs":[28],"at":[29],"interest":[30],"points,":[31],"from":[32],"which":[33],"we":[34],"compute":[35],"candidate":[36],"scene":[37],"relations":[38],"via":[39],"random":[40,69],"sampling":[41],"minimal":[43],"subsets":[44],"correspondences.":[46],"achieve":[48],"dense,":[50],"piecewise":[51],"smooth":[52],"assignment":[53],"pixels":[55],"to":[56],"layers":[58],"using":[59],"fast":[61],"approximate":[62],"graph-cut":[63],"algorithm":[64],"based":[65],"on":[66,76],"Markov":[68],"field":[70],"formulation.":[71],"demonstrate":[73],"our":[74],"approach":[75,87],"image":[77],"pairs":[78],"containing":[79],"large":[80],"inter-frame":[81,96],"partial":[84],"occlusion.":[85],"The":[86],"is":[88],"efficient":[89],"it":[91],"successfully":[92],"segments":[93],"scenes":[94],"with":[95],"disparities":[97],"previously":[98],"beyond":[99],"scope":[101],"methods.":[106]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}