{"id":"https://openalex.org/W3107906040","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263623","title":"Online Multiple Object Tracking with Recurrent Neural Networks and Appearance Model","display_name":"Online Multiple Object Tracking with Recurrent Neural Networks and Appearance Model","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3107906040","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263623","mag":"3107906040"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"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/A5100751189","display_name":"Wenjing Kang","orcid":"https://orcid.org/0000-0002-9479-2656"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Kang","raw_affiliation_strings":["Harbin Institute of Technology,School of Information Science and Engineering,Weihai,China","School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Information Science and Engineering,Weihai,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047445139","display_name":"Changqing Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I77566578","display_name":"United Microelectronics (United States)","ror":"https://ror.org/00vrhw316","country_code":"US","type":"company","lineage":["https://openalex.org/I4210161555","https://openalex.org/I77566578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changqing Xie","raw_affiliation_strings":["Realsil Microelectronics Inc.,Suzhou,China","Realsil Microelectronics Inc., Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Realsil Microelectronics Inc.,Suzhou,China","institution_ids":["https://openalex.org/I77566578"]},{"raw_affiliation_string":"Realsil Microelectronics Inc., Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783001","display_name":"Yao Jin","orcid":"https://orcid.org/0000-0001-6653-3836"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Yao","raw_affiliation_strings":["Harbin Institute of Technology,School of Information Science and Engineering,Weihai,China","School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Information Science and Engineering,Weihai,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000271243","display_name":"Liyi Xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyi Xuan","raw_affiliation_strings":["Harbin Institute of Technology,School of Information Science and Engineering,Weihai,China","School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Information Science and Engineering,Weihai,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072207649","display_name":"Gongliang Liu","orcid":"https://orcid.org/0000-0001-7534-4201"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongliang Liu","raw_affiliation_strings":["Harbin Institute of Technology,School of Information Science and Engineering,Weihai,China","School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Information Science and Engineering,Weihai,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Information Science and Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"38"},"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":0.9898999929428101,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9819999933242798,"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/computer-science","display_name":"Computer science","score":0.8161031007766724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7593390345573425},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6532049179077148},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6273692846298218},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6157423853874207},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5810433030128479},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.564345121383667},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.56409752368927},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5230696797370911},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.449537992477417},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4491071105003357},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44711607694625854},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43168970942497253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4122036099433899},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1699983775615692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8161031007766724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7593390345573425},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6532049179077148},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6273692846298218},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6157423853874207},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5810433030128479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.564345121383667},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.56409752368927},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5230696797370911},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.449537992477417},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4491071105003357},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44711607694625854},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43168970942497253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4122036099433899},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1699983775615692},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321940","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1825108226","https://openalex.org/W2083049794","https://openalex.org/W2105934661","https://openalex.org/W2115739848","https://openalex.org/W2122088301","https://openalex.org/W2137097255","https://openalex.org/W2141125852","https://openalex.org/W2237765446","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2295615964","https://openalex.org/W2401231614","https://openalex.org/W2511791013","https://openalex.org/W2520433280","https://openalex.org/W2534578893","https://openalex.org/W2547098537","https://openalex.org/W2585635281","https://openalex.org/W2603203130","https://openalex.org/W2755505820","https://openalex.org/W2766984662","https://openalex.org/W2950703532","https://openalex.org/W2963063317","https://openalex.org/W2963835147","https://openalex.org/W2964137095","https://openalex.org/W3098744844","https://openalex.org/W3104218139","https://openalex.org/W6638356639","https://openalex.org/W6696672603","https://openalex.org/W6697005757","https://openalex.org/W6703780166","https://openalex.org/W6725558437","https://openalex.org/W6726951882","https://openalex.org/W6744631311"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W2229372569"],"abstract_inverted_index":{"Multiple":[0],"object":[1,25,117],"tracking":[2,26,73],"suffers":[3],"from":[4,62],"many":[5],"challenges":[6],"including":[7],"huge":[8],"computation":[9],"work,":[10],"crowd":[11],"scenes.":[12,65,96],"In":[13,66,119],"order":[14,120],"to":[15,38,71,121,136,153],"solve":[16,154],"these":[17],"problems,":[18],"we":[19],"proposed":[20,135],"a":[21,57,129,155],"novel":[22,130],"online":[23],"multiple":[24],"algorithm":[27,166],"based":[28],"on":[29],"recurrent":[30],"neural":[31,104],"networks":[32,105],"(RNNs)":[33],"and":[34,125,169],"appearance":[35,84,87,98],"model.":[36],"Compared":[37],"traditional":[39],"algorithms,":[40],"the":[41,45,49,78,115,123,144,150],"RNNs":[42,68],"can":[43],"handle":[44],"motion":[46],"state":[47],"of":[48,59,80,127,157],"target":[50],"well":[51],"because":[52,75],"it":[53,76],"is":[54,69,89,100,111,147,167],"trained":[55,106],"with":[56,107],"quantity":[58],"data":[60,151],"extracted":[61,101],"real":[63],"world":[64],"addition,":[67],"helpful":[70],"improve":[72],"speed":[74,124],"predicts":[77],"trajectories":[79],"objects":[81],"without":[82],"complex":[83],"calculations.":[85],"The":[86,97,161],"feature":[88],"significant":[90],"for":[91,114],"tracking,":[92,128],"especially":[93],"in":[94,159],"crowed":[95],"model":[99],"by":[102],"convolutional":[103],"MARS":[108],"dataset":[109],"which":[110,138],"more":[112],"targeted":[113],"multi":[116],"tracking.":[118,160],"balance":[122],"accuracy":[126],"simple":[131],"decision":[132],"method":[133],"was":[134],"decide":[137],"features":[139],"should":[140],"be":[141],"used.":[142],"Otherwise,":[143],"cascade":[145],"matching":[146],"integrated":[148],"into":[149],"association":[152],"lot":[156],"subproblems":[158],"experimental":[162],"evaluation":[163],"shows":[164],"our":[165],"fast":[168],"accurate.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}