{"id":"https://openalex.org/W2068835166","doi":"https://doi.org/10.1109/tcsvt.2014.2302516","title":"Fully Unsupervised Learning of Camera Link Models for Tracking Humans Across Nonoverlapping Cameras","display_name":"Fully Unsupervised Learning of Camera Link Models for Tracking Humans Across Nonoverlapping Cameras","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2068835166","doi":"https://doi.org/10.1109/tcsvt.2014.2302516","mag":"2068835166"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2014.2302516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2302516","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5083941504","display_name":"Chun-Te Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chun-Te Chu","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA","Department of Electrical Engineering University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Electrical Engineering University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101702810","display_name":"Jenq\u2013Neng Hwang","orcid":"https://orcid.org/0000-0002-8877-2421"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenq-Neng Hwang","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA","Department of Electrical Engineering University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Department of Electrical Engineering University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083941504"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":2.4387,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91448174,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"6","first_page":"979","last_page":"994"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9879000186920166,"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":0.9771000146865845,"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":0.7682694792747498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7440035343170166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5788525342941284},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5212874412536621},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4607701003551483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4110090732574463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14291226863861084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682694792747498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7440035343170166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5788525342941284},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5212874412536621},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4607701003551483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4110090732574463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14291226863861084}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2014.2302516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2302516","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W42769906","https://openalex.org/W1518138188","https://openalex.org/W1772361843","https://openalex.org/W1968381457","https://openalex.org/W1979260620","https://openalex.org/W1981175466","https://openalex.org/W1990283121","https://openalex.org/W1991452654","https://openalex.org/W1994715454","https://openalex.org/W2009243364","https://openalex.org/W2025247481","https://openalex.org/W2062368515","https://openalex.org/W2069434196","https://openalex.org/W2075941881","https://openalex.org/W2099886213","https://openalex.org/W2100028243","https://openalex.org/W2102625004","https://openalex.org/W2104802157","https://openalex.org/W2105604990","https://openalex.org/W2120847676","https://openalex.org/W2124465992","https://openalex.org/W2126141220","https://openalex.org/W2126829907","https://openalex.org/W2130045037","https://openalex.org/W2131255818","https://openalex.org/W2139860285","https://openalex.org/W2149167202","https://openalex.org/W2156854584","https://openalex.org/W2158892224","https://openalex.org/W2161877964","https://openalex.org/W2163352848","https://openalex.org/W2165956633","https://openalex.org/W2171490473","https://openalex.org/W2542959367","https://openalex.org/W4250589301","https://openalex.org/W6638014341","https://openalex.org/W6649109542","https://openalex.org/W6678956196","https://openalex.org/W6680551430","https://openalex.org/W6683249403","https://openalex.org/W6728566577"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"A":[0],"multiple-camera":[1],"tracking":[2,151],"system":[3,50,182],"that":[4],"tracks":[5],"humans":[6],"across":[7],"cameras":[8],"with":[9],"nonoverlapping":[10],"views":[11],"is":[12,40,51,98],"proposed":[13,173],"in":[14,56,78,116,152,186],"this":[15],"paper.":[16],"The":[17,49,95,107,142],"systematically":[18],"estimated":[19],"camera":[20,71,143,190],"link":[21,72,144],"model,":[22],"including":[23],"transition":[24],"time":[25],"distribution,":[26],"brightness":[27],"transfer":[28],"function,":[29],"region":[30,33,85,89],"mapping":[31],"matrix,":[32],"matching":[34],"weights,":[35,39],"and":[36,88,165],"feature":[37],"fusion":[38],"utilized":[41],"to":[42,100,137,156,176],"facilitate":[43],"consistently":[44],"labeling":[45],"the":[46,57,67,70,103,112,117,122,125,132,153,158,161,169,177,180],"tracked":[47],"humans.":[48],"divided":[52],"into":[53],"two":[54],"stages:":[55],"training":[58,118],"stage,":[59,124],"based":[60],"on":[61],"an":[62,75,139],"unsupervised":[63,108],"scheme,":[64],"we":[65],"formulate":[66],"estimation":[68,174],"of":[69,114,128,160,171],"model":[73,105,145],"as":[74],"optimization":[76],"problem,":[77],"which":[79],"temporal":[80],"features,":[81,84,87],"holistic":[82],"color":[83,86],"texture":[90],"features":[91,134],"are":[92],"jointly":[93],"considered.":[94],"deterministic":[96],"annealing":[97],"applied":[99],"effectively":[101],"search":[102],"optimal":[104],"solutions.":[106],"learning":[109],"scheme":[110],"tolerates":[111],"presence":[113],"outliers":[115],"data":[119],"well.":[120],"In":[121],"testing":[123,154],"systematic":[126],"integration":[127],"multiple":[129],"cues":[130],"from":[131],"above":[133],"enables":[135],"us":[136],"perform":[138],"effective":[140],"reidentification.":[141],"can":[146],"be":[147],"continuously":[148],"updated":[149],"during":[150],"stage":[155],"adapt":[157],"changes":[159],"environment.":[162],"Several":[163],"simulations":[164],"comparative":[166],"studies":[167],"demonstrate":[168],"superiority":[170],"our":[172],"method":[175],"others.":[178],"Moreover,":[179],"complete":[181],"has":[183],"been":[184],"tested":[185],"a":[187],"small-scale":[188],"real-world":[189],"network":[191],"scenario.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
