{"id":"https://openalex.org/W2048026137","doi":"https://doi.org/10.1109/iccvw.2009.5457630","title":"Motion segmentation with occlusions on the superpixel graph","display_name":"Motion segmentation with occlusions on the superpixel graph","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2048026137","doi":"https://doi.org/10.1109/iccvw.2009.5457630","mag":"2048026137"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2009.5457630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","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/A5071078799","display_name":"Alper Ayvac\u0131","orcid":null},"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alper Ayvaci","raw_affiliation_strings":["University of California, Los Angeles, USA","University of California\u2013Los Angeles USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California\u2013Los Angeles USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038328783","display_name":"Stefano Soatto","orcid":"https://orcid.org/0000-0003-2902-6362"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Soatto","raw_affiliation_strings":["University of California, Los Angeles, USA","University of California\u2013Los Angeles USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California\u2013Los Angeles USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071078799"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":2.6244,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90622826,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"5302","issue":null,"first_page":"727","last_page":"734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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/T12923","display_name":"Digital Image Processing 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/computer-vision","display_name":"Computer vision","score":0.7292488813400269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7121772766113281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398448348045349},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5227451324462891},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.46360740065574646},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4476024806499481},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4198284447193146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3405759930610657},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.07196512818336487}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7292488813400269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7121772766113281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398448348045349},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5227451324462891},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.46360740065574646},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4476024806499481},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4198284447193146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3405759930610657},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.07196512818336487}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccvw.2009.5457630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2009.5457630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.150.3117","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.3117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vision.cs.ucla.edu/papers/ayvaciS09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W26881216","https://openalex.org/W165777125","https://openalex.org/W178406657","https://openalex.org/W1498640224","https://openalex.org/W1508404128","https://openalex.org/W1556481352","https://openalex.org/W1557951420","https://openalex.org/W1578285471","https://openalex.org/W1595096729","https://openalex.org/W1839539009","https://openalex.org/W1964991682","https://openalex.org/W1991113069","https://openalex.org/W1996019379","https://openalex.org/W1998999283","https://openalex.org/W2076208743","https://openalex.org/W2097099938","https://openalex.org/W2100315781","https://openalex.org/W2101309634","https://openalex.org/W2107422845","https://openalex.org/W2108077184","https://openalex.org/W2113137767","https://openalex.org/W2114190460","https://openalex.org/W2121947440","https://openalex.org/W2131958583","https://openalex.org/W2136297672","https://openalex.org/W2138524633","https://openalex.org/W2143516773","https://openalex.org/W2148688003","https://openalex.org/W2151055311","https://openalex.org/W2151186479","https://openalex.org/W2154038876","https://openalex.org/W2164822588","https://openalex.org/W2751023760","https://openalex.org/W3003662786","https://openalex.org/W6606816841","https://openalex.org/W6607236572","https://openalex.org/W6630399218","https://openalex.org/W6633317225","https://openalex.org/W6635647853","https://openalex.org/W6676124887","https://openalex.org/W6681815033","https://openalex.org/W6682478347","https://openalex.org/W6682782751"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W2799953226","https://openalex.org/W4366343436","https://openalex.org/W1522196789"],"abstract_inverted_index":{"We":[0,44],"present":[1],"a":[2,22,63,72,80],"motion":[3,36,74],"segmentation":[4],"algorithm":[5],"that":[6,52,94],"partitions":[7,93],"the":[8,26,84],"image":[9,27],"plane":[10],"into":[11,29],"disjoint":[12],"regions":[13,30],"based":[14],"on":[15,21,62],"their":[16],"parametric":[17,73],"motion.":[18],"It":[19,88],"relies":[20],"finer":[23],"partitioning":[24],"of":[25,31,39,41,83],"domain":[28],"uniform":[32],"photometric":[33],"properties,":[34],"with":[35],"segments":[37],"made":[38],"unions":[40],"such":[42],"\u00bfsuperpixels\u00bf.":[43],"exploit":[45],"recent":[46],"advances":[47],"in":[48,76],"combinatorial":[49],"graph":[50,81],"optimization":[51],"yield":[53],"computationally":[54],"efficient":[55],"estimates.":[56],"The":[57],"energy":[58],"functional":[59],"is":[60,67],"built":[61],"superpixel":[64,85],"graph,":[65],"and":[66],"iteratively":[68],"minimized":[69],"by":[70,79],"computing":[71],"model":[75],"closed-form,":[77],"followed":[78],"cut":[82],"adjacency":[86],"graph.":[87],"generalizes":[89],"naturally":[90],"to":[91],"multi-label":[92],"can":[95],"handle":[96],"multiple":[97],"motions.":[98]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}