{"id":"https://openalex.org/W4405092671","doi":"https://doi.org/10.1109/tii.2024.3488786","title":"ERMOT: Evidence Reasoning-Based Robust Multiple Object Tracking Method","display_name":"ERMOT: Evidence Reasoning-Based Robust Multiple Object Tracking Method","publication_year":2024,"publication_date":"2024-12-05","ids":{"openalex":"https://openalex.org/W4405092671","doi":"https://doi.org/10.1109/tii.2024.3488786"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3488786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3488786","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5074117281","display_name":"Xiaobin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaobin Xu","raw_affiliation_strings":["China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009959856","display_name":"Xinheng Wang","orcid":"https://orcid.org/0000-0001-8771-8901"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochuang Wang","raw_affiliation_strings":["China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735300","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0001-7977-8306"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fulong Wu","raw_affiliation_strings":["China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662990","display_name":"Zehui Zhang","orcid":"https://orcid.org/0000-0002-2641-4733"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehui Zhang","raw_affiliation_strings":["China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027785791","display_name":"Leilei Chang","orcid":"https://orcid.org/0000-0002-0126-0635"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Chang","raw_affiliation_strings":["China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074117281"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.386,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63754375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"21","issue":"3","first_page":"2094","last_page":"2103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.7879999876022339,"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"}},"topics":[{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.7879999876022339,"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"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.7821000218391418,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.7663000226020813,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.5878506898880005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5004494190216064},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49505487084388733},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.469091534614563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.468656450510025},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.45884808897972107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5878506898880005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5004494190216064},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49505487084388733},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.469091534614563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.468656450510025},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45884808897972107},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3488786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3488786","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1508245910","display_name":null,"funder_award_id":"72471067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G396609033","display_name":null,"funder_award_id":"52401376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2002665420","https://openalex.org/W2049337423","https://openalex.org/W2099144460","https://openalex.org/W2161086211","https://openalex.org/W2252355370","https://openalex.org/W2573106815","https://openalex.org/W2603203130","https://openalex.org/W2604679602","https://openalex.org/W2972805777","https://openalex.org/W2997208567","https://openalex.org/W3006757851","https://openalex.org/W3016744474","https://openalex.org/W3033009913","https://openalex.org/W3033901474","https://openalex.org/W3035172746","https://openalex.org/W3035442500","https://openalex.org/W3084173793","https://openalex.org/W3118212025","https://openalex.org/W3149936330","https://openalex.org/W3206199195","https://openalex.org/W4205577874","https://openalex.org/W4214516362","https://openalex.org/W4286904999","https://openalex.org/W4310467366","https://openalex.org/W4312689495","https://openalex.org/W4313117614","https://openalex.org/W4313572030","https://openalex.org/W4319866011","https://openalex.org/W4385575022","https://openalex.org/W4387614120","https://openalex.org/W6689020853","https://openalex.org/W6796223860"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Multiple":[0],"object":[1,44],"tracking":[2,30,45,61,68,90,96,172],"(MOT)":[3],"is":[4,82,146],"one":[5,52],"of":[6,70,88,98,104,106,142,166],"the":[7,29,34,39,67,74,86,89,95,99,107,113,122,126,134,143,149,158,164,171],"key":[8],"technologies":[9],"for":[10],"intelligent":[11],"industrial":[12],"information":[13],"systems.":[14],"Confidence":[15],"fluctuation":[16],"and":[17,55,59,110,125,169,183],"identity":[18,109,167],"switch":[19,168],"are":[20,63,130],"common":[21],"occurrences":[22,165],"in":[23,73],"MOT,":[24],"which":[25,92],"can":[26,93,161],"significantly":[27],"decrease":[28],"performance.":[31,139],"To":[32],"solve":[33],"above":[35],"issues,":[36],"we":[37],"propose":[38],"evidence":[40,105,115],"reasoning-based":[41],"robust":[42],"multiple":[43,150],"method":[46,145],"(ER-MOT).":[47],"First,":[48],"you":[49],"only":[50],"learn":[51],"representation":[53],"(YOLOR)":[54],"deep":[56],"simple":[57],"online":[58],"realtime":[60],"(SORT)":[62],"used":[64,131],"to":[65,84,132],"calculate":[66],"confidence":[69,97],"each":[71],"target":[72,100,108,178,185],"video":[75,181],"stream.":[76],"Then,":[77],"ER-based":[78,135],"dynamic":[79,136,184],"update":[80,112,137],"algorithm":[81,129,138],"proposed":[83,144,159],"enhance":[85,133,170],"robustness":[87,173],"method,":[91],"convert":[94],"into":[101],"a":[102],"piece":[103],"dynamically":[111],"current":[114],"by":[116],"fusing":[117],"historical":[118],"evidence.":[119],"In":[120],"addition,":[121],"forgetting":[123],"strategy":[124],"simulated":[127],"annealing":[128],"The":[140],"effectiveness":[141],"verified":[147],"on":[148],"MOT":[151],"Challenge":[152],"datasets.":[153],"Experimental":[154],"results":[155],"demonstrate":[156],"that":[157],"ER-MOT":[160],"effectively":[162],"reduce":[163],"under":[174],"disturbance":[175],"scenarios":[176],"including":[177],"occlusion,":[179],"unstable":[180],"quality,":[182],"changes.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
