{"id":"https://openalex.org/W4200591585","doi":"https://doi.org/10.1109/tip.2021.3131936","title":"Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking","display_name":"Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking","publication_year":2021,"publication_date":"2021-12-10","ids":{"openalex":"https://openalex.org/W4200591585","doi":"https://doi.org/10.1109/tip.2021.3131936","pmid":"https://pubmed.ncbi.nlm.nih.gov/34890326"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3131936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3131936","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.07664","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yunzhong Hou","orcid":"https://orcid.org/0000-0002-6916-4789"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yunzhong Hou","raw_affiliation_strings":["Research School of Computer Science, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"Research School of Computer Science, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhongdao Wang","orcid":"https://orcid.org/0000-0002-4483-8783"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongdao Wang","raw_affiliation_strings":["Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems and the Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems and the Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shengjin Wang","orcid":"https://orcid.org/0000-0001-7809-1932"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjin Wang","raw_affiliation_strings":["Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems and the Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems and the Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liang Zheng","orcid":"https://orcid.org/0000-0002-1464-9500"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Liang Zheng","raw_affiliation_strings":["Research School of Computer Science, Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"Research School of Computer Science, Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":0.3884,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62704799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"612","last_page":"622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9936000108718872,"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":0.9936000108718872,"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/T10057","display_name":"Face and Expression Recognition","score":0.0010999999940395355,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.000699999975040555,"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/matching","display_name":"Matching (statistics)","score":0.7160999774932861},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6065000295639038},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.579800009727478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5525000095367432},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5188999772071838},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48170000314712524},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4505000114440918},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43299999833106995},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.42829999327659607}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7160999774932861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674000024795532},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6065000295639038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5898000001907349},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5525000095367432},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48170000314712524},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4505000114440918},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.42829999327659607},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41100001335144043},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3686000108718872},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.34310001134872437},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3312000036239624},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2987395694","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Feature tracking","level":3,"score":0.30309998989105225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30149999260902405},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.2815999984741211},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.2612999975681305},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.2515000104904175}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2021.3131936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3131936","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34890326","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34890326","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2112.07664","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.07664","pdf_url":"https://arxiv.org/pdf/2112.07664","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.07664","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.07664","pdf_url":"https://arxiv.org/pdf/2112.07664","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1164853500","display_name":null,"funder_award_id":"DP210102801","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G1287071976","display_name":null,"funder_award_id":"DE200101283","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":82,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1521019969","https://openalex.org/W1531192956","https://openalex.org/W1536680647","https://openalex.org/W1921895346","https://openalex.org/W1966136723","https://openalex.org/W1973771202","https://openalex.org/W1981385563","https://openalex.org/W1987389530","https://openalex.org/W1997520974","https://openalex.org/W2051243987","https://openalex.org/W2053744956","https://openalex.org/W2089928474","https://openalex.org/W2096733369","https://openalex.org/W2108598243","https://openalex.org/W2123750492","https://openalex.org/W2124607943","https://openalex.org/W2124781496","https://openalex.org/W2135826343","https://openalex.org/W2136940668","https://openalex.org/W2138302688","https://openalex.org/W2168356304","https://openalex.org/W2171243491","https://openalex.org/W2171590421","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2219504084","https://openalex.org/W2237765446","https://openalex.org/W2264350531","https://openalex.org/W2432402544","https://openalex.org/W2464100022","https://openalex.org/W2467139031","https://openalex.org/W2502225121","https://openalex.org/W2511791013","https://openalex.org/W2519179885","https://openalex.org/W2519967618","https://openalex.org/W2520234541","https://openalex.org/W2520433280","https://openalex.org/W2534578893","https://openalex.org/W2565639579","https://openalex.org/W2579024533","https://openalex.org/W2604392930","https://openalex.org/W2606355385","https://openalex.org/W2739491435","https://openalex.org/W2749203358","https://openalex.org/W2776879428","https://openalex.org/W2780358087","https://openalex.org/W2791203079","https://openalex.org/W2799251491","https://openalex.org/W2893929991","https://openalex.org/W2896030169","https://openalex.org/W2914260751","https://openalex.org/W2926107957","https://openalex.org/W2962923976","https://openalex.org/W2963150697","https://openalex.org/W2963310072","https://openalex.org/W2963446712","https://openalex.org/W2963736028","https://openalex.org/W2963762690","https://openalex.org/W2963842104","https://openalex.org/W2964241181","https://openalex.org/W2965843888","https://openalex.org/W2969594195","https://openalex.org/W2971476609","https://openalex.org/W2980827638","https://openalex.org/W2998253676","https://openalex.org/W2998508940","https://openalex.org/W2998792609","https://openalex.org/W3106763294","https://openalex.org/W6637757992","https://openalex.org/W6696672603","https://openalex.org/W6726497184","https://openalex.org/W6728374919","https://openalex.org/W6735531217","https://openalex.org/W6739651123","https://openalex.org/W6747032639","https://openalex.org/W6756633688","https://openalex.org/W6765024959","https://openalex.org/W6765381450","https://openalex.org/W6765542583","https://openalex.org/W6765860775","https://openalex.org/W6765865457"],"related_works":[],"abstract_inverted_index":{"Data":[0],"associations":[1,153],"in":[2,30,57,93,110,128,154],"multi-target":[3],"multi-camera":[4],"tracking":[5,58],"(MTMCT)":[6],"usually":[7],"estimate":[8],"affinity":[9,104,124,161],"directly":[10],"from":[11,47,69],"re-identification":[12],"(re-ID)":[13],"feature":[14,88],"distances.":[15],"However,":[16],"we":[17,78,121,139],"argue":[18],"that":[19,130],"it":[20],"might":[21,131],"not":[22],"be":[23],"the":[24,28,123,157,159],"best":[25],"choice":[26],"given":[27],"difference":[29],"matching":[31,62,92,108],"scopes":[32,109],"between":[33,85],"re-ID":[34,87,168],"and":[35,50,72,90,95,170,176],"MTMCT":[36],"problems.":[37],"Re-ID":[38],"systems":[39],"focus":[40],"on":[41,174],"global":[42,86,167],"matching,":[43],"which":[44],"retrieves":[45],"targets":[46],"all":[48,51,118],"cameras":[49],"times.":[52],"In":[53,75],"contrast,":[54],"data":[55,134,143,152],"association":[56],"is":[59],"a":[60,97,141],"local":[61,91],"problem,":[63],"since":[64],"its":[65],"candidates":[66],"only":[67],"come":[68],"neighboring":[70],"locations":[71],"time":[73],"frames.":[74],"this":[76,137],"paper,":[77],"design":[79],"experiments":[80],"to":[81,102,106,115,126],"verify":[82],"such":[83],"misfit":[84],"distances":[89],"tracking,":[94],"propose":[96],"simple":[98],"yet":[99],"effective":[100],"approach":[101],"adapt":[103],"estimations":[105],"corresponding":[107],"MTMCT.":[111],"Instead":[112],"of":[113],"trying":[114],"deal":[116],"with":[117,146],"appearance":[119],"changes,":[120],"tailor":[122],"metric":[125],"specialize":[127],"ones":[129],"emerge":[132],"during":[133],"associations.":[135],"To":[136],"end,":[138],"introduce":[140],"new":[142],"sampling":[144],"scheme":[145],"temporal":[147],"windows":[148],"originally":[149],"used":[150],"for":[151],"tracking.":[155],"Minimizing":[156],"mismatch,":[158],"adaptive":[160],"module":[162],"brings":[163],"significant":[164],"improvements":[165],"over":[166],"distance,":[169],"produces":[171],"competitive":[172],"performance":[173],"CityFlow":[175],"DukeMTMC":[177],"datasets.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2021-12-31T00:00:00"}
