{"id":"https://openalex.org/W4312504688","doi":"https://doi.org/10.1109/tits.2022.3229978","title":"A Multi-Object Tracking Algorithm With Center-Based Feature Extraction and Occlusion Handling","display_name":"A Multi-Object Tracking Algorithm With Center-Based Feature Extraction and Occlusion Handling","publication_year":2022,"publication_date":"2022-12-26","ids":{"openalex":"https://openalex.org/W4312504688","doi":"https://doi.org/10.1109/tits.2022.3229978"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3229978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3229978","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5079155612","display_name":"Zhengcai Cao","orcid":"https://orcid.org/0000-0003-0344-0207"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengcai Cao","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006656155","display_name":"Junnian Li","orcid":"https://orcid.org/0000-0003-4257-9594"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junnian Li","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074783923","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0003-0090-9006"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengchu Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071962721","display_name":"Abdullah Abusorrah","orcid":"https://orcid.org/0000-0001-8025-0453"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdullah Abusorrah","raw_affiliation_strings":["K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079155612"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":3.7727,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.94709528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"4","first_page":"4464","last_page":"4473"},"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":0.9936000108718872,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9908000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7169023752212524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697228729724884},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6509445905685425},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6417796015739441},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6297087669372559},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5995586514472961},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5684993267059326},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5547263026237488},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5131136178970337},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.470428466796875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4368603825569153},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4328278601169586},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.42878222465515137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1094532310962677}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7169023752212524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697228729724884},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6509445905685425},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6417796015739441},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6297087669372559},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5995586514472961},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5684993267059326},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5547263026237488},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5131136178970337},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.470428466796875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4368603825569153},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4328278601169586},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42878222465515137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1094532310962677},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3229978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3229978","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1309666564","display_name":null,"funder_award_id":"92148202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1347567300","display_name":null,"funder_award_id":"2020YFB1313300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3418878103","display_name":null,"funder_award_id":"L223019","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G36332496","display_name":null,"funder_award_id":"52175002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6112526592","display_name":null,"funder_award_id":"IFPIP: 1211-135-1443","funder_id":"https://openalex.org/F4320322322","funder_display_name":"King Abdulaziz University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322322","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W37808110","https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W2042145470","https://openalex.org/W2122088301","https://openalex.org/W2124781496","https://openalex.org/W2150066425","https://openalex.org/W2291627510","https://openalex.org/W2511791013","https://openalex.org/W2534578893","https://openalex.org/W2895150009","https://openalex.org/W2920942303","https://openalex.org/W2925175053","https://openalex.org/W2952408149","https://openalex.org/W2962909019","https://openalex.org/W2966535964","https://openalex.org/W2981393651","https://openalex.org/W2998989269","https://openalex.org/W3012573144","https://openalex.org/W3024046433","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3095753995","https://openalex.org/W3104778224","https://openalex.org/W3107328188","https://openalex.org/W3108996023","https://openalex.org/W3118212025","https://openalex.org/W3123514128","https://openalex.org/W3136115421","https://openalex.org/W3144387230","https://openalex.org/W3165926952","https://openalex.org/W3167095230","https://openalex.org/W3172793249","https://openalex.org/W3175782503","https://openalex.org/W3195775608","https://openalex.org/W3204488436","https://openalex.org/W3205524401","https://openalex.org/W4205537101","https://openalex.org/W4213179364","https://openalex.org/W4214516362","https://openalex.org/W4220982523","https://openalex.org/W4223509168","https://openalex.org/W4281665577","https://openalex.org/W4286904999","https://openalex.org/W4292793982","https://openalex.org/W4294344554","https://openalex.org/W4308770718","https://openalex.org/W4312567319","https://openalex.org/W4313072323","https://openalex.org/W6631190155","https://openalex.org/W6638824847","https://openalex.org/W6696672603","https://openalex.org/W6760424586"],"related_works":["https://openalex.org/W2926094217","https://openalex.org/W2542007731","https://openalex.org/W4285271403","https://openalex.org/W3156013036","https://openalex.org/W2892070025","https://openalex.org/W29633852","https://openalex.org/W2091015105","https://openalex.org/W2968379562","https://openalex.org/W2110899030","https://openalex.org/W4327670844"],"abstract_inverted_index":{"For":[0],"tracking":[1,103],"suspicious":[2],"objects":[3,54,86],"using":[4,70],"intelligent":[5],"robots,":[6],"Multiple":[7],"Object":[8],"Tracking":[9],"(MOT)":[10],"has":[11],"gained":[12],"great":[13],"attention.":[14],"MOT":[15,28],"is":[16,49,63,80,93],"easily":[17],"affected":[18],"by":[19,69],"long-term":[20,140],"severe":[21,141],"occlusion.":[22,33],"This":[23],"work":[24,107],"proposes":[25],"a":[26,109],"joint":[27],"algorithm":[29,92,124,134],"to":[30,65,82,120],"handle":[31],"such":[32],"Pairs":[34],"of":[35,74,147],"frames":[36],"in":[37],"complicated":[38],"environments":[39],"are":[40],"taken":[41],"as":[42],"input.":[43],"A":[44,60,76],"center-based":[45],"feature":[46,58],"extraction":[47],"framework":[48],"designed":[50],"for":[51],"precisely":[52],"detecting":[53],"and":[55,87,117,125],"extracting":[56],"their":[57],"maps.":[59],"ConvGRU":[61],"module":[62],"applied":[64,81],"learn":[66],"permanent":[67],"representations":[68],"historical":[71],"spatio-temporal":[72],"information":[73],"objects.":[75],"Hungarian":[77],"matching":[78],"method":[79],"match":[83],"the":[84,122,132,145],"detected":[85],"predicted":[88],"predictions.":[89],"The":[90],"proposed":[91,123,133],"compared":[94],"with":[95,111],"several":[96],"representative":[97],"methods":[98],"on":[99],"two":[100],"public":[101],"multi-object":[102],"benchmarks.":[104],"Furthermore,":[105],"this":[106],"constructs":[108],"database":[110],"videos":[112],"captured":[113],"from":[114],"street":[115],"scenarios":[116],"uses":[118],"it":[119],"test":[121],"its":[126,136],"peers.":[127],"Experimental":[128],"results":[129],"demonstrate":[130],"that":[131],"outperforms":[135],"peers,":[137],"especially":[138],"under":[139],"occlusion,":[142],"thus":[143],"advancing":[144],"field":[146],"MOT.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}