{"id":"https://openalex.org/W3173908321","doi":"https://doi.org/10.1109/cvprw53098.2021.00473","title":"Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management","display_name":"Multi-Target Multi-Camera Vehicle Tracking for City-Scale Traffic Management","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3173908321","doi":"https://doi.org/10.1109/cvprw53098.2021.00473","mag":"3173908321"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw53098.2021.00473","doi":"https://doi.org/10.1109/cvprw53098.2021.00473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw53098.2021.00473","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5069897611","display_name":"Kyujin Shim","orcid":"https://orcid.org/0000-0003-3015-8725","observed_orcids":["https://orcid.org/0000-0003-3015-8725"]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyujin Shim","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007429853","display_name":"Sung\u2010Joon Yoon","orcid":"https://orcid.org/0000-0001-6453-0770","observed_orcids":["https://orcid.org/0000-0001-6453-0770"]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjoon Yoon","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057339912","display_name":"Kangwook Ko","orcid":"https://orcid.org/0000-0002-5101-9751","observed_orcids":["https://orcid.org/0000-0002-5101-9751"]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kangwook Ko","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069759184","display_name":"Changick Kim","orcid":"https://orcid.org/0000-0001-9323-8488","observed_orcids":["https://orcid.org/0000-0001-9323-8488"]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changick Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":1.6322,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.89623901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4188","last_page":"4195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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":0.9970999956130981,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0024999999441206455,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-target-multi-camera-tracking","display_name":"multi-target multi-camera tracking","score":0.9929999709129333},{"id":"https://openalex.org/keywords/vehicle-tracking","display_name":"vehicle tracking","score":0.9900000095367432},{"id":"https://openalex.org/keywords/vehicle-detection","display_name":"vehicle detection","score":0.8870000243186951},{"id":"https://openalex.org/keywords/appearance-features","display_name":"appearance features","score":0.8190000057220459},{"id":"https://openalex.org/keywords/trajectory-association","display_name":"trajectory association","score":0.578000009059906},{"id":"https://openalex.org/keywords/ai-city-challenge","display_name":"AI City Challenge","score":0.7670000195503235}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7498630285263062},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.733079731464386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7258813381195068},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7043830156326294},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.5396710634231567},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5226538181304932},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.5169838666915894},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4619840085506439},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46051326394081116},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.434952974319458},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4197431802749634},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.16316616535186768},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.146452397108078},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.11644682288169861},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw53098.2021.00473","doi":"https://doi.org/10.1109/cvprw53098.2021.00473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw53098.2021.00473","pdf_url":null,"source":{"id":"https://openalex.org/S4363607748","display_name":"IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.875,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1836465849","https://openalex.org/W2095705004","https://openalex.org/W2108598243","https://openalex.org/W2141461755","https://openalex.org/W2549139847","https://openalex.org/W2794497862","https://openalex.org/W2796347433","https://openalex.org/W2920942303","https://openalex.org/W2954007244","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963925503","https://openalex.org/W2965843888","https://openalex.org/W2967515867","https://openalex.org/W2983208726","https://openalex.org/W3012471638","https://openalex.org/W3035276674","https://openalex.org/W3035410385","https://openalex.org/W3084173793","https://openalex.org/W3106250896","https://openalex.org/W3106763294","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W3177046655","https://openalex.org/W4292794048","https://openalex.org/W4281915060","https://openalex.org/W3175559434","https://openalex.org/W4292793969","https://openalex.org/W3035374417","https://openalex.org/W4292829118","https://openalex.org/W4383604695","https://openalex.org/W3081236109","https://openalex.org/W4292828334"],"abstract_inverted_index":{"Multi-target":[0],"multi-camera":[1,118],"(MTMC)":[2],"tracking":[3,22,65,88,108,145],"is":[4,46,68],"one":[5],"of":[6,53,55,72,113,120],"the":[7,50,73,86,110],"important":[8],"fields":[9],"in":[10,135,151],"computer":[11],"vision,":[12],"where":[13],"multiple":[14,19],"objects":[15],"are":[16],"tracked":[17],"across":[18],"cameras.":[20],"MTMC":[21,64,87,144],"can":[23],"be":[24],"applied":[25],"to":[26,49],"various":[27],"tasks":[28],"such":[29,58],"as":[30,59],"crowd":[31],"analysis,":[32],"city-scale":[33],"traffic":[34],"management,":[35],"and":[36,61,78,102,116,140],"transportation":[37],"systems":[38],"analysis":[39],"for":[40,66,90],"intelligent":[41],"city":[42],"planning.":[43],"However,":[44],"it":[45,94],"challenging":[47],"due":[48],"large":[51,75],"variety":[52],"conditions":[54],"each":[56,114,124],"camera,":[57],"perspective":[60],"illumination.":[62],"Furthermore,":[63],"vehicles":[67,91],"more":[69],"problematic":[70],"because":[71],"relatively":[74],"inter-class":[76],"similarity":[77],"intra-class":[79],"variability.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84],"tackle":[85],"problem":[89],"by":[92],"dividing":[93],"into":[95],"three":[96],"main":[97],"steps:":[98],"(i)":[99],"vehicle":[100],"detection":[101],"feature":[103,112],"extraction,":[104],"(ii)":[105],"multi-target":[106],"single-camera":[107],"using":[109],"appearance":[111],"vehicle,":[115],"(iii)":[117],"association":[119],"local":[121],"trajectories":[122],"from":[123],"camera.":[125],"Our":[126],"method":[127,146],"shows":[128],"comparable":[129],"results":[130],"with":[131],"other":[132],"highly-ranked":[133],"methods":[134],"AI":[136,152],"City":[137,153],"Challenge":[138,154],"2021":[139],"outperforms":[141],"a":[142],"recent":[143],"that":[147],"ranked":[148],"first":[149],"place":[150],"2020.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2021-07-05T00:00:00"}
