{"id":"https://openalex.org/W2963794146","doi":"https://doi.org/10.1109/tcsvt.2018.2889488","title":"Correlation Filter Selection for Visual Tracking Using Reinforcement Learning","display_name":"Correlation Filter Selection for Visual Tracking Using Reinforcement Learning","publication_year":2018,"publication_date":"2018-12-24","ids":{"openalex":"https://openalex.org/W2963794146","doi":"https://doi.org/10.1109/tcsvt.2018.2889488","mag":"2963794146"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2889488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2889488","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5058083133","display_name":"Yanchun Xie","orcid":"https://orcid.org/0000-0002-1274-2103"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanchun Xie","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011918180","display_name":"Jimin Xiao","orcid":"https://orcid.org/0000-0002-9416-2486"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jimin Xiao","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026022035","display_name":"Kaizhu Huang","orcid":"https://orcid.org/0000-0002-3034-9639"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaizhu Huang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008605990","display_name":"Jeyan Thiyagalingam","orcid":"https://orcid.org/0000-0002-2167-1343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeyarajan Thiyagalingam","raw_affiliation_strings":["Rutherford Appleton Laboratory, Science and Technologies Facilities Council, Didcot, U.K"],"affiliations":[{"raw_affiliation_string":"Rutherford Appleton Laboratory, Science and Technologies Facilities Council, Didcot, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058083133"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":1.9847,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.90550462,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"30","issue":"1","first_page":"192","last_page":"204"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9940999746322632,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9751999974250793,"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/filter","display_name":"Filter (signal processing)","score":0.7354774475097656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7157653570175171},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.709226667881012},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6815378069877625},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6803713440895081},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6690998673439026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6559134721755981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.530056893825531},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46080920100212097},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45961377024650574},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4245256781578064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36351847648620605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18341156840324402}],"concepts":[{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.7354774475097656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157653570175171},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.709226667881012},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6815378069877625},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6803713440895081},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6690998673439026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6559134721755981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.530056893825531},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46080920100212097},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45961377024650574},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4245256781578064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36351847648620605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18341156840324402},{"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/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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2018.2889488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2889488","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:purl.org/net/epubs:work/43180175","is_oa":false,"landing_page_url":"http://purl.org/net/epubs/work/43180175","pdf_url":null,"source":{"id":"https://openalex.org/S4306400334","display_name":"Science and Technology Facilities Council","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2210376286","display_name":null,"funder_award_id":"61501379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2456155595","display_name":null,"funder_award_id":"61876155","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3326952325","display_name":null,"funder_award_id":"61332012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4678000616","display_name":null,"funder_award_id":"2016YFB0800404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5992429082","display_name":null,"funder_award_id":"61473236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7072385062","display_name":null,"funder_award_id":"61532005","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"},{"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":71,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1771410628","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2089961441","https://openalex.org/W2117539524","https://openalex.org/W2145339207","https://openalex.org/W2154889144","https://openalex.org/W2155007355","https://openalex.org/W2165150801","https://openalex.org/W2179488730","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2408241409","https://openalex.org/W2424629859","https://openalex.org/W2469312016","https://openalex.org/W2469582947","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2519373641","https://openalex.org/W2520477759","https://openalex.org/W2529817577","https://openalex.org/W2551640181","https://openalex.org/W2557641257","https://openalex.org/W2576085163","https://openalex.org/W2579238278","https://openalex.org/W2584265939","https://openalex.org/W2599547527","https://openalex.org/W2601066903","https://openalex.org/W2605381261","https://openalex.org/W2620236356","https://openalex.org/W2625998969","https://openalex.org/W2681067697","https://openalex.org/W2732089612","https://openalex.org/W2736601468","https://openalex.org/W2738318237","https://openalex.org/W2739381051","https://openalex.org/W2740685955","https://openalex.org/W2740828027","https://openalex.org/W2743941897","https://openalex.org/W2776035257","https://openalex.org/W2781239370","https://openalex.org/W2798520605","https://openalex.org/W2798644314","https://openalex.org/W2808989867","https://openalex.org/W2809375916","https://openalex.org/W2951303555","https://openalex.org/W2962824803","https://openalex.org/W2962864296","https://openalex.org/W2963791342","https://openalex.org/W2963972681","https://openalex.org/W2963979855","https://openalex.org/W2964043796","https://openalex.org/W2964078006","https://openalex.org/W2964161785","https://openalex.org/W3102624093","https://openalex.org/W4302570325","https://openalex.org/W6606595081","https://openalex.org/W6623108133","https://openalex.org/W6638018090","https://openalex.org/W6649598916","https://openalex.org/W6682849425","https://openalex.org/W6684205842","https://openalex.org/W6692846177","https://openalex.org/W6726293469","https://openalex.org/W6729805386","https://openalex.org/W6735544697","https://openalex.org/W6738570108","https://openalex.org/W6741471465"],"related_works":["https://openalex.org/W4384788979","https://openalex.org/W2914048681","https://openalex.org/W2511178891","https://openalex.org/W2909390414","https://openalex.org/W2126676984","https://openalex.org/W2806679586","https://openalex.org/W2954509079","https://openalex.org/W2007914597","https://openalex.org/W178060743","https://openalex.org/W1984282557"],"abstract_inverted_index":{"Correlation":[0],"filter":[1,55,70,82,99],"has":[2,48],"been":[3,49],"proven":[4],"to":[5,35,66,116,159],"be":[6],"an":[7,96,109],"effective":[8,157],"tool":[9],"for":[10,19,92],"a":[11,21,63,114,135],"number":[12],"of":[13,95,127,142,165,172,178],"approaches":[14],"in":[15,84,108],"visual":[16],"tracking,":[17],"particularly":[18],"seeking":[20],"good":[22],"balance":[23],"between":[24],"tracking":[25,41],"accuracy":[26],"and":[27,78,86,134,149,167],"speed.":[28],"However,":[29],"correlation":[30,54,69,81,98,180],"filter-based":[31,181],"models":[32,83],"are":[33],"susceptible":[34],"wrong":[36],"updates":[37],"stemming":[38],"from":[39],"inaccurate":[40],"results.":[42],"To":[43,103],"date,":[44],"very":[45],"little":[46],"effort":[47],"devoted":[50],"towards":[51],"handling":[52],"the":[53,68,93,105,143,147,154,161,168,176],"update":[56,71,77],"problem.":[57,72],"In":[58,73],"this":[59],"paper,":[60],"we":[61,76,87,112],"propose":[62,113],"novel":[64],"approach":[65,145,155],"address":[67],"our":[74],"approach,":[75],"maintain":[79],"multiple":[80],"parallel,":[85],"use":[88],"deep":[89],"reinforcement":[90],"learning":[91,137],"selection":[94],"optimal":[97],"model":[100],"among":[101],"them.":[102],"facilitate":[104],"decision":[106],"process":[107],"efficient":[110],"manner,":[111],"decision-net":[115],"deal":[117],"with":[118],"target":[119],"appearance":[120],"modeling,":[121],"which":[122],"is":[123,156],"trained":[124],"through":[125],"hundreds":[126],"challenging":[128],"videos":[129],"using":[130],"proximal":[131],"policy":[132],"optimization":[133],"lightweight":[136],"network.":[138],"An":[139],"exhaustive":[140],"evaluation":[141],"proposed":[144],"on":[146],"OTB100":[148],"OTB2013":[150],"benchmarks":[151],"shows":[152],"that":[153],"enough":[158],"achieve":[160],"average":[162,169],"success":[163],"rate":[164],"62.3%":[166],"precision":[170],"score":[171],"81.2%,":[173],"both":[174],"exceeding":[175],"performance":[177],"traditional":[179],"trackers.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}