{"id":"https://openalex.org/W4320008877","doi":"https://doi.org/10.1109/tits.2022.3232242","title":"Efficient Visual Tracking Based on Fuzzy Inference for Intelligent Transportation Systems","display_name":"Efficient Visual Tracking Based on Fuzzy Inference for Intelligent Transportation Systems","publication_year":2023,"publication_date":"2023-01-20","ids":{"openalex":"https://openalex.org/W4320008877","doi":"https://doi.org/10.1109/tits.2022.3232242"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3232242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3232242","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/A5090788114","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0001-9909-0664"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Liu","raw_affiliation_strings":["School of Educational Sciences, Hunan Normal University, Changsha, China","College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9909-0664","affiliations":[{"raw_affiliation_string":"School of Educational Sciences, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]},{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080419657","display_name":"Shichen Huang","orcid":"https://orcid.org/0000-0001-6133-3819"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichen Huang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6133-3819","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060820459","display_name":"Xiyu Xu","orcid":"https://orcid.org/0000-0002-7849-3074"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyu Xu","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061267204","display_name":"Jaime Lloret","orcid":"https://orcid.org/0000-0002-0862-0533"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaime Lloret","raw_affiliation_strings":["Instituto de Investigación para la Gestión Integrada de Zonas Costeras (IGIC), Universitat Politécnica de Valencia, Valencia, Spain"],"raw_orcid":"https://orcid.org/0000-0002-0862-0533","affiliations":[{"raw_affiliation_string":"Instituto de Investigación para la Gestión Integrada de Zonas Costeras (IGIC), Universitat Politécnica de Valencia, Valencia, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018267985","display_name":"Khan Muhammad","orcid":"https://orcid.org/0000-0002-5302-1150"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Khan Muhammad","raw_affiliation_strings":["Department of Applied AI, Visual Analytics for Knowledge Laboratory (VIS2KNOW Laboratory), School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5302-1150","affiliations":[{"raw_affiliation_string":"Department of Applied AI, Visual Analytics for Knowledge Laboratory (VIS2KNOW Laboratory), School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090788114"],"corresponding_institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"],"apc_list":null,"apc_paid":null,"fwci":7.1871,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.98052507,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"12","first_page":"15795","last_page":"15806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T12496","display_name":"Color perception and design","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.7750861644744873},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.6217254996299744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5717507004737854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5682333111763},{"id":"https://openalex.org/keywords/intelligent-decision-support-system","display_name":"Intelligent decision support system","score":0.5000901222229004},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4827129542827606},{"id":"https://openalex.org/keywords/fuzzy-inference-system","display_name":"Fuzzy inference system","score":0.4788494110107422},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4681653678417206},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4569651484489441},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.45611757040023804},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.448074609041214},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4435510039329529},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4333694577217102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38828974962234497},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3265950083732605},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1642763614654541},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1246671974658966}],"concepts":[{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.7750861644744873},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.6217254996299744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5717507004737854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5682333111763},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.5000901222229004},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4827129542827606},{"id":"https://openalex.org/C2987376176","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference system","level":5,"score":0.4788494110107422},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4681653678417206},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4569651484489441},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.45611757040023804},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.448074609041214},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4435510039329529},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4333694577217102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38828974962234497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3265950083732605},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1642763614654541},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1246671974658966},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3232242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3232242","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":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G2839214561","display_name":null,"funder_award_id":"AEA200013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2951068507","display_name":null,"funder_award_id":"22A0049","funder_id":"https://openalex.org/F4320311213","funder_display_name":"Education Department of Hunan Province"},{"id":"https://openalex.org/G8740972005","display_name":null,"funder_award_id":"62207012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311213","display_name":"Education Department of Hunan Province","ror":"https://ror.org/05ckg3w11"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1600982777","https://openalex.org/W1857884451","https://openalex.org/W2051085510","https://openalex.org/W2089961441","https://openalex.org/W2470394683","https://openalex.org/W2566098869","https://openalex.org/W2569194645","https://openalex.org/W2610273510","https://openalex.org/W2776035257","https://openalex.org/W2776378542","https://openalex.org/W2783430431","https://openalex.org/W2792527526","https://openalex.org/W2799058067","https://openalex.org/W2883382301","https://openalex.org/W2886910176","https://openalex.org/W2962972233","https://openalex.org/W2963030525","https://openalex.org/W2963074722","https://openalex.org/W2963534981","https://openalex.org/W2964423614","https://openalex.org/W2966759264","https://openalex.org/W2987460522","https://openalex.org/W2989688045","https://openalex.org/W2990187711","https://openalex.org/W3001584168","https://openalex.org/W3005416549","https://openalex.org/W3008115128","https://openalex.org/W3035453691","https://openalex.org/W3035511673","https://openalex.org/W3035571898","https://openalex.org/W3035672751","https://openalex.org/W3045623285","https://openalex.org/W3088021439","https://openalex.org/W3112288498","https://openalex.org/W3127796792","https://openalex.org/W3165999276","https://openalex.org/W3170708168","https://openalex.org/W3174225630","https://openalex.org/W6759215614"],"related_works":["https://openalex.org/W2181415496","https://openalex.org/W3199050383","https://openalex.org/W4322732584","https://openalex.org/W2477660228","https://openalex.org/W2922721683","https://openalex.org/W2889574165","https://openalex.org/W2943069943","https://openalex.org/W2382941854","https://openalex.org/W2219483656","https://openalex.org/W2735794055"],"abstract_inverted_index":{"Remote":[0],"monitoring":[1,14,279],"is":[2,35,44,53,68,84,129,152,173,190,199,226,244,260],"an":[3],"important":[4],"application":[5],"of":[6,13,48,71,80,87,117,183,195,236,268,277],"intelligent":[7],"transportation":[8],"systems":[9],"(ITSs).":[10],"The":[11,27,223],"combination":[12],"equipment":[15],"and":[16,38,40,76,103,272],"tracking":[17,28,177],"algorithms":[18,265],"can":[19,273],"be":[20,114],"used":[21,245],"to":[22,97,125,179,262],"automatically":[23],"track":[24],"moving":[25],"targets.":[26],"algorithm":[29,259],"based":[30,232],"on":[31,233,252],"the":[32,59,65,69,72,77,81,85,88,94,109,115,118,137,141,145,159,164,176,181,184,192,196,212,220,234,237,241,247,257,275],"Siamese":[33],"network":[34],"both":[36],"accurate":[37,127],"efficient,":[39],"its":[41],"development":[42],"potential":[43],"better":[45],"than":[46],"that":[47,57,61,256],"other":[49,263],"algorithms.":[50],"Its":[51],"output":[52],"a":[54,202],"detection":[55,82,110,185,230,238],"map":[56,83,111,189],"reflects":[58],"probability":[60],"any":[62],"position":[63],"in":[64,108,140,163,168,266,281],"search":[66,197],"area":[67,198],"center":[70,86,116],"target\u2019s":[73,89,119],"bounding":[74,90,120],"box,":[75],"maximum":[78],"value":[79],"box":[91],"predicted":[92],"by":[93],"algorithm.":[95],"Owing":[96],"partial":[98],"occlusion,":[99],"target":[100,138,160,193],"deformation,":[101],"out-of-view,":[102],"background":[104],"clutter,":[105],"local":[106],"maxima":[107],"may":[112],"also":[113],"box.":[121],"A":[122],"tracker\u2019s":[123],"ability":[124],"make":[126],"judgments":[128],"currently":[130],"limited.":[131],"Furthermore,":[132],"previous":[133],"trackers":[134],"extracted":[135],"only":[136],"features":[139,161],"initial":[142,242],"frame":[143,243],"as":[144,218,246],"matching":[146,150,217,248],"template.":[147,249],"Although":[148],"this":[149,169,188],"template":[151,213],"highly":[153],"reliable,":[154,191],"it":[155],"cannot":[156],"effectively":[157],"combine":[158],"available":[162],"subsequent":[165],"frames.":[166],"Therefore,":[167],"study,":[170],"fuzzy":[171],"inference":[172],"introduced":[174],"into":[175,201],"process":[178],"analyze":[180],"reliability":[182],"map.":[186],"When":[187],"feature":[194],"transformed":[200],"substitute":[203,207],"template;":[204],"otherwise,":[205],"multiple":[206,229,253,269],"templates":[208],"are":[209],"selected":[210,227],"from":[211,228],"pool":[214],"for":[215],"parallel":[216],"per":[219],"set":[221],"rules.":[222],"optimal":[224],"result":[225],"results,":[231],"priority":[235],"results":[239,251],"when":[240],"Experimental":[250],"datasets":[254],"show":[255],"proposed":[258],"superior":[261],"similar":[264],"terms":[267],"assessment":[270],"metrics":[271],"improve":[274],"robustness":[276],"remote":[278],"tasks":[280],"ITSs.":[282]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":20}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}