{"id":"https://openalex.org/W2006720668","doi":"https://doi.org/10.1109/cvpr.2010.5539848","title":"Modeling and estimating persistent motion with geometric flows","display_name":"Modeling and estimating persistent motion with geometric flows","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2006720668","doi":"https://doi.org/10.1109/cvpr.2010.5539848","mag":"2006720668"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5539848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/71897","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010087030","display_name":"Dahua Lin","orcid":"https://orcid.org/0000-0002-8865-7896"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dahua Lin","raw_affiliation_strings":["CSAIL, MIT, USA","CSAIL/MIT"],"affiliations":[{"raw_affiliation_string":"CSAIL, MIT, USA","institution_ids":[]},{"raw_affiliation_string":"CSAIL/MIT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033156170","display_name":"Eric Grimson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Grimson","raw_affiliation_strings":["CSAIL, MIT, USA","CSAIL/MIT"],"affiliations":[{"raw_affiliation_string":"CSAIL, MIT, USA","institution_ids":[]},{"raw_affiliation_string":"CSAIL/MIT","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091608832","display_name":"John W. Fisher","orcid":"https://orcid.org/0000-0003-4844-3495"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Fisher","raw_affiliation_strings":["CSAIL, MIT, USA","CSAIL/MIT"],"affiliations":[{"raw_affiliation_string":"CSAIL, MIT, USA","institution_ids":[]},{"raw_affiliation_string":"CSAIL/MIT","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010087030"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5559,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.93227238,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T11439","display_name":"Video Analysis and Summarization","score":0.9950000047683716,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/motion-estimation","display_name":"Motion estimation","score":0.6622697710990906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550819873809814},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6302356719970703},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6276124715805054},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.6161034107208252},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5948655009269714},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5588955879211426},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5479046702384949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5321594476699829},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5212781429290771},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4273708164691925},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.41913801431655884},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40023645758628845},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.39173197746276855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2989542782306671},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18757379055023193}],"concepts":[{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6622697710990906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550819873809814},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6302356719970703},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6276124715805054},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.6161034107208252},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5948655009269714},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5588955879211426},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5479046702384949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5321594476699829},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5212781429290771},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4273708164691925},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.41913801431655884},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40023645758628845},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.39173197746276855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2989542782306671},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18757379055023193},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2010.5539848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5539848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.456.4066","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.456.4066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.csail.mit.edu/fisher/publications/papers/dhlin10cvpr.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/71897","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/71897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/71897","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/71897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4000000059604645,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G414638342","display_name":null,"funder_award_id":"W911NF-06-1-0076","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5968161667","display_name":null,"funder_award_id":"W911NF-06-1-0076","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7093029411","display_name":null,"funder_award_id":"FA9550-06-1-0324","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1482815597","https://openalex.org/W1506289301","https://openalex.org/W1557324374","https://openalex.org/W1746819321","https://openalex.org/W1867429401","https://openalex.org/W2034306844","https://openalex.org/W2037865596","https://openalex.org/W2039842835","https://openalex.org/W2096246546","https://openalex.org/W2108404684","https://openalex.org/W2118877769","https://openalex.org/W2130159466","https://openalex.org/W2134080476","https://openalex.org/W2135162538","https://openalex.org/W2143516773","https://openalex.org/W2148442626","https://openalex.org/W2149832394","https://openalex.org/W2151103935","https://openalex.org/W2155605230","https://openalex.org/W2162616721","https://openalex.org/W3150797255","https://openalex.org/W4211049957","https://openalex.org/W4212819559","https://openalex.org/W6628681060","https://openalex.org/W6639126518","https://openalex.org/W6660148379","https://openalex.org/W6677548441","https://openalex.org/W6680330856","https://openalex.org/W6682803058"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W1541334882","https://openalex.org/W2010111660","https://openalex.org/W2120943489","https://openalex.org/W1484667368","https://openalex.org/W2053820737","https://openalex.org/W1997997397","https://openalex.org/W2108243766","https://openalex.org/W2026674073","https://openalex.org/W2140220292"],"abstract_inverted_index":{"We":[0,72,137],"propose":[1],"a":[2,34,64,85,100,106],"principled":[3],"framework":[4],"to":[5,14,76,109,119],"model":[6,36,77,117],"persistent":[7,38,157],"motion":[8,56,79,135],"in":[9,44,84,134,155],"dynamic":[10],"scenes.":[11],"In":[12],"contrast":[13],"previous":[15],"efforts":[16],"on":[17,26,69,140],"object":[18],"tracking":[19],"and":[20,39,60,62,104,122,131],"optical":[21],"flow":[22,53,102],"estimation":[23],"that":[24,54,125,149],"focus":[25],"local":[27],"motion,":[28],"we":[29,46,98],"primarily":[30],"aim":[31],"at":[32],"inferring":[33],"global":[35],"of":[37,51,91,95,143],"collective":[40],"dynamics.":[41],"With":[42],"this":[43,96],"mind,":[45],"first":[47],"introduce":[48],"the":[49,92,111,150],"concept":[50],"geometric":[52],"describes":[55],"simultaneously":[57],"over":[58],"space":[59,66],"time,":[61],"derive":[63],"vector":[65],"representation":[67],"based":[68],"Lie":[70],"algebra.":[71],"then":[73],"extend":[74],"it":[75],"complex":[78],"by":[80],"combining":[81],"multiple":[82],"flows":[83],"geometrically":[86],"consistent":[87],"manner.":[88],"Taking":[89],"advantage":[90],"linear":[93],"nature":[94],"representation,":[97],"formulate":[99],"stochastic":[101],"model,":[103],"incorporate":[105],"Gaussian":[107],"process":[108],"capture":[110],"spatial":[112],"coherence":[113],"more":[114],"effectively.":[115],"This":[116],"leads":[118],"an":[120],"efficient":[121],"robust":[123],"algorithm":[124],"can":[126],"integrate":[127],"both":[128],"point":[129],"pairs":[130],"frame":[132],"differences":[133],"estimation.":[136],"conducted":[138],"experiments":[139],"different":[141],"types":[142],"videos.":[144],"The":[145],"results":[146],"clearly":[147],"demonstrate":[148],"proposed":[151],"approach":[152],"is":[153],"effective":[154],"modeling":[156],"motion.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
