{"id":"https://openalex.org/W3110585492","doi":"https://doi.org/10.1109/access.2020.3041294","title":"Long Short-Term Memory Networks Based on Particle Filter for Object Tracking","display_name":"Long Short-Term Memory Networks Based on Particle Filter for Object Tracking","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3110585492","doi":"https://doi.org/10.1109/access.2020.3041294","mag":"3110585492"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3041294","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3041294","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09273053.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09273053.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100394344","display_name":"Yanli Liu","orcid":"https://orcid.org/0000-0002-2691-034X"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]},{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Liu","raw_affiliation_strings":["School of Electronic Information, Shanghai Dianji University, Shanghai, China","School of Information Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-2691-034X","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Shanghai Dianji University, Shanghai, China","institution_ids":["https://openalex.org/I4210156189"]},{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101996745","display_name":"Jingjing Cheng","orcid":"https://orcid.org/0000-0002-9348-2322"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Cheng","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-9348-2322","affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021065636","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0001-9027-3261"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]},{"id":"https://openalex.org/I4210156189","display_name":"Shanghai Dianji University","ror":"https://ror.org/055fene14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["School of Electronic Information, Shanghai Dianji University, Shanghai, China","School of Information Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-9027-3261","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Shanghai Dianji University, Shanghai, China","institution_ids":["https://openalex.org/I4210156189"]},{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941196","display_name":"Hang Zou","orcid":"https://orcid.org/0000-0002-1451-5262"},"institutions":[{"id":"https://openalex.org/I4210155232","display_name":"Fiberhome Technology Group (China)","ror":"https://ror.org/04yv20134","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Zou","raw_affiliation_strings":["Wuhan Research Institute of Posts and Telecommunications, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Research Institute of Posts and Telecommunications, Wuhan, China","institution_ids":["https://openalex.org/I4210155232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I192664086","display_name":"Northeastern State University","ror":"https://ror.org/01z7kzb45","country_code":"US","type":"education","lineage":["https://openalex.org/I192664086"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Naixue Xiong","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA"],"raw_orcid":"https://orcid.org/0000-0002-0394-4635","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA","institution_ids":["https://openalex.org/I192664086"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2937,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58475923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"216245","last_page":"216258"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9922000169754028,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.988099992275238,"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/particle-filter","display_name":"Particle filter","score":0.8487410545349121},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7476772665977478},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7389715909957886},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6973587870597839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6607729196548462},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6598278284072876},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5951586961746216},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5737117528915405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4544733464717865},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4184267520904541},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4146645963191986},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.39947712421417236},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3515419065952301},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3411770462989807},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.27666306495666504},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.23053419589996338}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8487410545349121},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476772665977478},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7389715909957886},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6973587870597839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6607729196548462},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6598278284072876},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5951586961746216},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5737117528915405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4544733464717865},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4184267520904541},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4146645963191986},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.39947712421417236},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3515419065952301},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3411770462989807},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.27666306495666504},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.23053419589996338},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3041294","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3041294","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09273053.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a4b13c07889f4b1b84a60dc6fec391d0","is_oa":true,"landing_page_url":"https://doaj.org/article/a4b13c07889f4b1b84a60dc6fec391d0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 216245-216258 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3041294","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3041294","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09273053.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1211894840","display_name":"\u9762\u5411\u8d44\u6e90\u805a\u5408\u4e0e\u670d\u52a1\u534f\u540c\u7684\u4e91\u673a\u5668\u4eba\u7cfb\u7edf\u67b6\u6784\u6a21\u578b\u53ca\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61563014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5111677810","display_name":"\u57fa\u4e8e\u7c92\u5b50\u6ee4\u6ce2\u7684\u6df1\u5ea6\u5b66\u4e60\u540c\u6b65\u5b9a\u4f4d\u4e0e\u5730\u56fe\u6784\u5efa\u7814\u7a76","funder_award_id":"61963017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5417740783","display_name":null,"funder_award_id":"20192BBE50077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G668585739","display_name":"\u4ecb\u5165\u5f0f\u8179\u8154\u955c\u673a\u5668\u4eba\u591a\u6e90\u5b9a\u4f4d\u4e0e\u8179\u8154\u4e09\u7ef4\u91cd\u6784\u7814\u7a76","funder_award_id":"61663010","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110585492.pdf","grobid_xml":"https://content.openalex.org/works/W3110585492.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1497265063","https://openalex.org/W1598796236","https://openalex.org/W1836465849","https://openalex.org/W1857884451","https://openalex.org/W1997121481","https://openalex.org/W2000326692","https://openalex.org/W2010522557","https://openalex.org/W2064675550","https://openalex.org/W2089961441","https://openalex.org/W2118097920","https://openalex.org/W2118345389","https://openalex.org/W2124211486","https://openalex.org/W2150355110","https://openalex.org/W2154889144","https://openalex.org/W2180269096","https://openalex.org/W2244956674","https://openalex.org/W2252355370","https://openalex.org/W2264178313","https://openalex.org/W2280226538","https://openalex.org/W2343187456","https://openalex.org/W2470394683","https://openalex.org/W2470648425","https://openalex.org/W2513005088","https://openalex.org/W2554651300","https://openalex.org/W2556108308","https://openalex.org/W2578902722","https://openalex.org/W2618003571","https://openalex.org/W2794209590","https://openalex.org/W2799058067","https://openalex.org/W2811025443","https://openalex.org/W2895906665","https://openalex.org/W2895979306","https://openalex.org/W2900201163","https://openalex.org/W2904531787","https://openalex.org/W2916780012","https://openalex.org/W2919115771","https://openalex.org/W2941211423","https://openalex.org/W2955983623","https://openalex.org/W2962778460","https://openalex.org/W2962803115","https://openalex.org/W2963037989","https://openalex.org/W2963102369","https://openalex.org/W2963796526","https://openalex.org/W2963873961","https://openalex.org/W2990187711","https://openalex.org/W3005429882","https://openalex.org/W3010780935","https://openalex.org/W3015007882","https://openalex.org/W3035571898","https://openalex.org/W3039204154","https://openalex.org/W3104218139","https://openalex.org/W3104641012","https://openalex.org/W3104896896","https://openalex.org/W4293568259","https://openalex.org/W6629867248","https://openalex.org/W6635679246","https://openalex.org/W6638667902","https://openalex.org/W6677907805","https://openalex.org/W6693305720","https://openalex.org/W6720898849","https://openalex.org/W6726083677","https://openalex.org/W6753773310","https://openalex.org/W6773438232","https://openalex.org/W6776241776","https://openalex.org/W7034753983"],"related_works":["https://openalex.org/W2062103941","https://openalex.org/W2134550343","https://openalex.org/W2145247614","https://openalex.org/W4211133619","https://openalex.org/W1995980025","https://openalex.org/W1522562297","https://openalex.org/W2012200063","https://openalex.org/W4320086059","https://openalex.org/W4210734798","https://openalex.org/W4312249400"],"abstract_inverted_index":{"Due":[0],"to":[1,78,103,120],"the":[2,39,51,91,105,110,115,152,157],"uncertainty":[3],"of":[4,41,93,100],"object":[5,7],"motion,":[6],"tracking":[8,18,158],"is":[9,76],"a":[10,66,98,125],"more":[11],"difficult":[12],"state":[13,112],"estimation":[14],"problem.":[15],"The":[16,135],"traditional":[17],"method":[19,52],"based":[20,53,72],"on":[21,54,73,90,128],"particle":[22,94],"filter":[23],"has":[24,31,142],"come":[25],"into":[26],"wide":[27],"use,":[28],"but":[29],"it":[30],"high":[32,85],"complexity":[33],"and":[34,80,108,133,155],"poor":[35],"real-time":[36],"performance":[37,144],"in":[38],"process":[40],"tracking.":[42],"As":[43],"long":[44],"as":[45],"there":[46],"are":[47],"enough":[48],"training":[49],"data,":[50],"deep":[55],"neural":[56],"network":[57,88],"can":[58,149],"fit":[59],"any":[60],"mapping":[61],"well.":[62],"In":[63],"this":[64],"paper,":[65],"structured":[67],"Long":[68],"Short-Term":[69],"Memory":[70],"Network":[71],"Particle":[74],"Filter(LSTM-PF)":[75],"proposed":[77],"learn":[79],"model":[81],"video":[82],"sequences":[83],"with":[84],"uncertainty.":[86],"This":[87],"draws":[89],"idea":[92],"filter,":[95],"which":[96,148],"uses":[97],"set":[99],"weighted":[101],"particles":[102],"approximate":[104],"latent":[106,111],"variable":[107],"updates":[109],"distribution":[113],"through":[114],"LSTM":[116],"gating":[117],"structure":[118],"according":[119],"Bayesian":[121],"rules.":[122],"We":[123],"conduct":[124],"comprehensive":[126],"experiment":[127],"two":[129],"benchmark":[130],"datasets:":[131],"OTB100":[132],"VOT2016.":[134],"experimental":[136],"results":[137],"show":[138],"that":[139],"our":[140],"tracker":[141],"better":[143],"than":[145],"other":[146],"trackers,":[147],"effectively":[150],"reduce":[151],"calculation":[153],"redundancy":[154],"improve":[156],"accuracy.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
