{"id":"https://openalex.org/W2147377836","doi":"https://doi.org/10.1109/cvpr.2009.5206526","title":"Monitoring, recognizing and discovering social networks","display_name":"Monitoring, recognizing and discovering social networks","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2147377836","doi":"https://doi.org/10.1109/cvpr.2009.5206526","mag":"2147377836"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206526","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","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/A5101063340","display_name":"Ting Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]},{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting Yu","raw_affiliation_strings":["Visualization and Computer Vision Laboratory, GE Global Research Center, Niskayuna, NY, USA","Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visualization and Computer Vision Laboratory, GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113969216","display_name":"Ser-Nam Lim","orcid":"https://orcid.org/0000-0001-9525-0288"},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]},{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ser-Nam Lim","raw_affiliation_strings":["Visualization and Computer Vision Laboratory, GE Global Research Center, Niskayuna, NY, USA","Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visualization and Computer Vision Laboratory, GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054387446","display_name":"Kedar A. Patwardhan","orcid":"https://orcid.org/0009-0002-2709-1339"},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]},{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kedar Patwardhan","raw_affiliation_strings":["Visualization and Computer Vision Laboratory, GE Global Research Center, Niskayuna, NY, USA","Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visualization and Computer Vision Laboratory, GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018550375","display_name":"Nils Krahnstoever","orcid":null},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]},{"id":"https://openalex.org/I4210134512","display_name":"GE Global Research (United States)","ror":"https://ror.org/03e06qt98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134512"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nils Krahnstoever","raw_affiliation_strings":["Visualization and Computer Vision Laboratory, GE Global Research Center, Niskayuna, NY, USA","Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visualization and Computer Vision Laboratory, GE Global Research Center, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I4210134512"]},{"raw_affiliation_string":"Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA","institution_ids":["https://openalex.org/I1332737386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.2321,"has_fulltext":false,"cited_by_count":84,"citation_normalized_percentile":{"value":0.99122379,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1462","last_page":"1469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.995199978351593,"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/T11448","display_name":"Face recognition and analysis","score":0.9921000003814697,"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-science","display_name":"Computer science","score":0.7912403345108032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6360040903091431},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5853990912437439},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.5670017004013062},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.5261266231536865},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5156137347221375},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4834100008010864},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47509610652923584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19081148505210876},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14666464924812317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912403345108032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6360040903091431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5853990912437439},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.5670017004013062},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.5261266231536865},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5156137347221375},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4834100008010864},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47509610652923584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19081148505210876},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14666464924812317},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2009.5206526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206526","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1568122762","https://openalex.org/W1890253021","https://openalex.org/W2015953751","https://openalex.org/W2095293504","https://openalex.org/W2096087251","https://openalex.org/W2096246546","https://openalex.org/W2098940422","https://openalex.org/W2101309634","https://openalex.org/W2108425682","https://openalex.org/W2113137767","https://openalex.org/W2121947440","https://openalex.org/W2124068852","https://openalex.org/W2129560725","https://openalex.org/W2132219897","https://openalex.org/W2132914434","https://openalex.org/W2134977751","https://openalex.org/W2135674549","https://openalex.org/W2141966200","https://openalex.org/W2142674933","https://openalex.org/W2143516773","https://openalex.org/W2151936673","https://openalex.org/W2155511848","https://openalex.org/W2165874743","https://openalex.org/W2562785760","https://openalex.org/W6639537588","https://openalex.org/W6674782618","https://openalex.org/W6679918739","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W2788595494","https://openalex.org/W2244676099","https://openalex.org/W4230687177","https://openalex.org/W3172556642","https://openalex.org/W3157456843","https://openalex.org/W1990150827","https://openalex.org/W2036676347","https://openalex.org/W1968829728","https://openalex.org/W1589307369","https://openalex.org/W3165790285"],"abstract_inverted_index":{"This":[0],"work":[1],"addresses":[2],"the":[3,7,28,47,80,86,107,116,128,152],"important":[4],"problem":[5,23],"of":[6,11,30,58,77,110,122,125,175],"discovery":[8],"and":[9,41,71,91,148],"analysis":[10],"social":[12,112,154],"networks":[13],"from":[14,34,163],"surveillance":[15],"video.":[16],"A":[17],"computer":[18],"vision":[19],"approach":[20,144,157],"to":[21,49,100],"this":[22,102],"is":[24,140,158],"made":[25],"possible":[26],"by":[27],"proliferation":[29],"video":[31],"data":[32],"obtained":[33],"camera":[35,43],"networks,":[36],"particularly":[37],"state-of-the-art":[38],"Pan-Tilt-Zoom":[39],"(PTZ)":[40],"tracking":[42],"systems":[44],"that":[45,114,135],"have":[46],"capability":[48],"acquire":[50],"high-resolution":[51],"face":[52,66],"images":[53,70],"as":[54,56],"well":[55],"tracks":[57,76],"people":[59,78],"under":[60,169],"challenging":[61,170],"conditions.":[62],"We":[63,130],"perform":[64],"\u201copportunistic\u201d":[65],"recognition":[67],"on":[68,79],"captured":[69],"compute":[72],"motion":[73],"similarities":[74],"between":[75,89,118],"ground":[81],"plane.":[82],"To":[83],"deal":[84],"with":[85,160],"unknown":[87],"correspondences":[88],"faces":[90],"tracks,":[92],"we":[93,136],"present":[94],"a":[95,111,164],"novel":[96],"graph-cut":[97],"based":[98,143],"algorithm":[99,134],"solve":[101],"association":[103],"problem.":[104],"It":[105],"enables":[106],"robust":[108],"estimation":[109],"network":[113],"captures":[115],"interactions":[117],"individuals":[119],"in":[120,127,151],"spite":[121],"large":[123],"amounts":[124],"noise":[126],"datasets.":[129],"also":[131],"introduce":[132],"an":[133,141],"call":[137],"\u201cmodularity-cut\u201d,":[138],"which":[139],"Eigen-analysis":[142],"for":[145],"discovering":[146],"community":[147],"leadership":[149],"structure":[150],"estimated":[153],"network.":[155],"Our":[156],"illustrated":[159],"promising":[161],"results":[162],"fully":[165],"integrated":[166],"multi-camera":[167],"system":[168],"conditions":[171],"over":[172],"long":[173],"period":[174],"time.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
