{"id":"https://openalex.org/W1921895346","doi":"https://doi.org/10.1109/cvpr.2015.7298718","title":"Target Identity-aware Network Flow for online multiple target tracking","display_name":"Target Identity-aware Network Flow for online multiple target tracking","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1921895346","doi":"https://doi.org/10.1109/cvpr.2015.7298718","mag":"1921895346"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/1755","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064352107","display_name":"Afshin Dehghan","orcid":"https://orcid.org/0000-0001-9800-412X"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Afshin Dehghan","raw_affiliation_strings":["Center for Research in Computer Vision, University of Central Florida","Center for Research in Computer Vision, University of Central Florida, United States"],"affiliations":[{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida, United States","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101822512","display_name":"Yicong Tian","orcid":"https://orcid.org/0000-0002-6719-3252"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yicong Tian","raw_affiliation_strings":["Center for Research in Computer Vision, University of Central Florida","Center for Research in Computer Vision, University of Central Florida, United States"],"affiliations":[{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida, United States","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042899882","display_name":"Philip H. S. Torr","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip. H. S. Torr","raw_affiliation_strings":["Department of Engineering Science, University of Oxford","Department of Engineering Science, University of Oxford, Parks Road OX1 3PJ, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Parks Road OX1 3PJ, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080823547","display_name":"Mubarak Shah","orcid":"https://orcid.org/0000-0001-6172-5572"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mubarak Shah","raw_affiliation_strings":["Center for Research in Computer Vision, University of Central Florida","Center for Research in Computer Vision, University of Central Florida, United States"],"affiliations":[{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Center for Research in Computer Vision, University of Central Florida, United States","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064352107"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":9.1719,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.98591295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1146","last_page":"1154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9955999851226807,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7940585613250732},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.609933078289032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5481529235839844},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5079851746559143},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5003581047058105},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.4974711239337921},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48039892315864563},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4699153006076813},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46527099609375},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.451793909072876},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42385807633399963},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4197624623775482},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41441601514816284},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3905010521411896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37127017974853516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28601402044296265},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1635911464691162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7940585613250732},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.609933078289032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5481529235839844},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5079851746559143},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5003581047058105},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.4974711239337921},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48039892315864563},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4699153006076813},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46527099609375},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.451793909072876},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42385807633399963},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4197624623775482},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41441601514816284},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3905010521411896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37127017974853516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28601402044296265},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1635911464691162},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr.2015.7298718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-2754","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/1755","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.3297","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.3297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://crcv.ucf.edu/papers/cvpr2015/AfshinDehghan_TINF_CVPR15.pdf","raw_type":"text"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:55d95879-5064-4543-b38f-f95f93dc271a","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:55d95879-5064-4543-b38f-f95f93dc271a","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements","raw_type":"Conference item"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-2754","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/1755","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6714370467","display_name":null,"funder_award_id":"EP/I001107/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1499901540","https://openalex.org/W1528063097","https://openalex.org/W1815110257","https://openalex.org/W1932380673","https://openalex.org/W1973812812","https://openalex.org/W1987118352","https://openalex.org/W1987389530","https://openalex.org/W2005256556","https://openalex.org/W2016135469","https://openalex.org/W2070019681","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2104828970","https://openalex.org/W2105842272","https://openalex.org/W2110644024","https://openalex.org/W2111644456","https://openalex.org/W2116227586","https://openalex.org/W2118740913","https://openalex.org/W2121091546","https://openalex.org/W2124211486","https://openalex.org/W2124781496","https://openalex.org/W2126302311","https://openalex.org/W2127084114","https://openalex.org/W2127923214","https://openalex.org/W2134529534","https://openalex.org/W2136579260","https://openalex.org/W2146688665","https://openalex.org/W2147196093","https://openalex.org/W2148958980","https://openalex.org/W2150439955","https://openalex.org/W2160218441","https://openalex.org/W2161969291","https://openalex.org/W2163937424","https://openalex.org/W2168356304","https://openalex.org/W2171243491","https://openalex.org/W2294602567","https://openalex.org/W2543696449","https://openalex.org/W3009009611","https://openalex.org/W3120048558","https://openalex.org/W3148770862","https://openalex.org/W6629750760","https://openalex.org/W6631487387","https://openalex.org/W6640342528","https://openalex.org/W6647300565","https://openalex.org/W6655608801","https://openalex.org/W6675783020","https://openalex.org/W6678298392","https://openalex.org/W6678515836","https://openalex.org/W6679128158","https://openalex.org/W6683584131","https://openalex.org/W6697111280"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2349635380","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"show":[4,157,190],"that":[5,112,158,191],"multiple":[6],"object":[7,45],"tracking":[8,162],"(MOT)":[9],"can":[10,168,194],"be":[11],"formulated":[12],"in":[13,77,100,153,164],"a":[14,63,78,90,129,165],"framework,":[15],"where":[16,38,97],"the":[17,30,39,44,53,70,101,104,120,125,136,139,144,171,199],"detection":[18,46],"and":[19,68,161,177,189],"data-association":[20],"are":[21],"performed":[22],"simultaneously.":[23],"Our":[24,182],"method":[25,57,193],"allows":[26],"us":[27],"to":[28,111,124,174],"overcome":[29],"confinements":[31],"of":[32,55,73,83,106,138,180],"data":[33],"association":[34],"based":[35],"MOT":[36],"approaches;":[37],"performance":[40],"is":[41,87,133],"dependent":[42],"on":[43],"results":[47,196],"provided":[48],"at":[49],"input":[50],"level.":[51],"At":[52],"core":[54],"our":[56,84,192],"lies":[58],"structured":[59,85],"learning":[60,86],"which":[61,141],"learns":[62],"model":[64],"for":[65],"each":[66,98,107],"target":[67,108],"infers":[69],"best":[71],"location":[72],"all":[74],"targets":[75,149,163],"simultaneously":[76],"video":[79],"clip.":[80],"The":[81,114],"inference":[82],"done":[88],"through":[89],"new":[91],"Target":[92],"Identity-aware":[93],"Network":[94],"Flow":[95],"(TINF),":[96],"node":[99],"network":[102],"encodes":[103],"probability":[105],"identity":[109],"belonging":[110],"node.":[113],"proposed":[115],"Lagrangian":[116],"relaxation":[117],"optimization":[118,128],"finds":[119],"high":[121],"quality":[122],"solution":[123],"network.":[126],"During":[127],"soft":[130],"spatial":[131],"constraint":[132],"enforced":[134],"between":[135],"nodes":[137],"graph":[140],"helps":[142],"reducing":[143],"ambiguity":[145],"caused":[146],"by":[147],"nearby":[148],"with":[150],"similar":[151],"appearance":[152],"crowded":[154],"scenarios.":[155],"We":[156],"automatically":[159],"detecting":[160],"single":[166],"framework":[167],"help":[169],"resolve":[170],"ambiguities":[172],"due":[173],"frequent":[175],"occlusion":[176],"heavy":[178],"articulation":[179],"targets.":[181],"experiments":[183],"involve":[184],"challenging":[185],"yet":[186],"distinct":[187],"datasets":[188],"achieve":[195],"better":[197],"than":[198],"state-of-art.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
