{"id":"https://openalex.org/W3012509084","doi":"https://doi.org/10.1109/tcsvt.2020.2979480","title":"Complementary Discriminative Correlation Filters Based on Collaborative Representation for Visual Object Tracking","display_name":"Complementary Discriminative Correlation Filters Based on Collaborative Representation for Visual Object Tracking","publication_year":2020,"publication_date":"2020-03-09","ids":{"openalex":"https://openalex.org/W3012509084","doi":"https://doi.org/10.1109/tcsvt.2020.2979480","mag":"3012509084"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.2979480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2979480","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/A5013792562","display_name":"Xuefeng Zhu","orcid":"https://orcid.org/0000-0003-0262-5891"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue-Feng Zhu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Wu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049469328","display_name":"Tianyang Xu","orcid":"https://orcid.org/0000-0002-9015-3128"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Tianyang Xu","raw_affiliation_strings":["Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025299678","display_name":"Zhenhua Feng","orcid":"https://orcid.org/0000-0002-4485-4249"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhen-Hua Feng","raw_affiliation_strings":["Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028209738","display_name":"Josef Kittler","orcid":"https://orcid.org/0000-0002-8110-9205"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Josef Kittler","raw_affiliation_strings":["Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K"],"affiliations":[{"raw_affiliation_string":"Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013792562"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":3.533,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.94101068,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"31","issue":"2","first_page":"557","last_page":"568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9753000140190125,"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/discriminative-model","display_name":"Discriminative model","score":0.8837359547615051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7817683219909668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7400397062301636},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7346956133842468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6599729657173157},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6257508397102356},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6136906147003174},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5078626275062561},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4983835220336914},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47290074825286865},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.461723268032074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4312138855457306},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4107719659805298},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.29232436418533325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18112805485725403}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8837359547615051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7817683219909668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400397062301636},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7346956133842468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6599729657173157},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6257508397102356},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6136906147003174},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5078626275062561},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4983835220336914},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47290074825286865},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.461723268032074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4312138855457306},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4107719659805298},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.29232436418533325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18112805485725403},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcsvt.2020.2979480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2979480","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:alma.44SUR_INST:11139071860002346","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:epubs.surrey.ac.uk:853907","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/853907/1/CSLDCF_TCSVT_2020.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2088235307","display_name":"Face Matching for Automatic Identity Retrieval, Recognition, Verification and Management","funder_award_id":"EP/N007743/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G344950217","display_name":null,"funder_award_id":"U1836218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4037990431","display_name":"Semantic Information Pursuit for Multimodal Data Analysis","funder_award_id":"EP/R013616/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4770326006","display_name":null,"funder_award_id":"EP/N007743/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6194403621","display_name":null,"funder_award_id":"EP/R013616/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6905154729","display_name":null,"funder_award_id":"61672265","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G764753648","display_name":null,"funder_award_id":"EP/R018456/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G817257554","display_name":null,"funder_award_id":"61902153","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/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1915785815","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1977709942","https://openalex.org/W1995903777","https://openalex.org/W1997121481","https://openalex.org/W2038385691","https://openalex.org/W2044986361","https://openalex.org/W2059781288","https://openalex.org/W2089961441","https://openalex.org/W2108598243","https://openalex.org/W2113577207","https://openalex.org/W2126302311","https://openalex.org/W2130026429","https://openalex.org/W2131711931","https://openalex.org/W2132467081","https://openalex.org/W2139047213","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2159128898","https://openalex.org/W2183648259","https://openalex.org/W2194775991","https://openalex.org/W2214352687","https://openalex.org/W2244956674","https://openalex.org/W2344989787","https://openalex.org/W2469175529","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2520477759","https://openalex.org/W2528414289","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2599547527","https://openalex.org/W2681067697","https://openalex.org/W2740685955","https://openalex.org/W2742165450","https://openalex.org/W2768634781","https://openalex.org/W2776507577","https://openalex.org/W2784375960","https://openalex.org/W2795210153","https://openalex.org/W2798842862","https://openalex.org/W2804764393","https://openalex.org/W2891033863","https://openalex.org/W2896303549","https://openalex.org/W2902947591","https://openalex.org/W2913466142","https://openalex.org/W2916780012","https://openalex.org/W2939059980","https://openalex.org/W2954137266","https://openalex.org/W2962719749","https://openalex.org/W2962824803","https://openalex.org/W2963030525","https://openalex.org/W2964069521","https://openalex.org/W2964105113","https://openalex.org/W2964111344","https://openalex.org/W2979087743","https://openalex.org/W2988310840","https://openalex.org/W2989688045","https://openalex.org/W2992224095","https://openalex.org/W2995982174","https://openalex.org/W2997484260","https://openalex.org/W3097992810","https://openalex.org/W3102624093","https://openalex.org/W3105214483","https://openalex.org/W6606595081","https://openalex.org/W6623108133","https://openalex.org/W6679027886","https://openalex.org/W6686234685","https://openalex.org/W6726293469","https://openalex.org/W6726654379","https://openalex.org/W6759215614"],"related_works":["https://openalex.org/W2609539975","https://openalex.org/W2786600129","https://openalex.org/W2132200263","https://openalex.org/W256589335","https://openalex.org/W2102106825","https://openalex.org/W2982441782","https://openalex.org/W2122378993","https://openalex.org/W4385144146","https://openalex.org/W2936520980","https://openalex.org/W2469120981"],"abstract_inverted_index":{"In":[0,77],"recent":[1],"years,":[2],"discriminative":[3,31],"correlation":[4],"filter":[5],"(DCF)":[6],"based":[7],"algorithms":[8],"have":[9],"significantly":[10],"advanced":[11],"the":[12,15,24,48,69,99,110,125,129,139,160,165],"state":[13],"of":[14,26,73,92,101,128,164,173],"art":[16],"in":[17,123],"visual":[18,94],"object":[19],"tracking.":[20],"The":[21,131,152],"key":[22],"to":[23,56,59,83,108],"success":[25],"DCF":[27,147],"is":[28,51,66],"an":[29],"efficient":[30],"regression":[32],"model":[33],"trained":[34],"with":[35,117,138,170],"powerful":[36],"multi-cue":[37],"features,":[38],"including":[39],"both":[40],"hand-crafted":[41],"and":[42,162],"deep":[43],"neural":[44],"network":[45],"features.":[46,76],"However,":[47],"tracking":[49,175],"performance":[50,150],"hindered":[52],"by":[53,68,87],"their":[54],"inability":[55],"respond":[57],"adequately":[58],"abrupt":[60],"target":[61,116],"appearance":[62,112,119],"variations.":[63],"This":[64],"issue":[65],"posed":[67],"limited":[70],"representation":[71,91,104,134],"capability":[72],"fixed":[74],"image":[75],"this":[78,85],"work,":[79],"we":[80,97],"set":[81],"out":[82],"rectify":[84],"shortcoming":[86],"proposing":[88],"a":[89,93,102,115,144,171],"complementary":[90],"content.":[95],"Specifically,":[96],"propose":[98],"use":[100],"collaborative":[103,133],"between":[105],"successive":[106],"frames":[107],"extract":[109],"dynamic":[111],"information":[113],"from":[114],"rapid":[118],"changes,":[120],"which":[121],"results":[122,154],"suppressing":[124],"undesirable":[126],"impact":[127],"background.":[130],"resulting":[132],"coefficients":[135],"are":[136],"combined":[137],"original":[140],"feature":[141],"maps":[142],"using":[143],"spatially":[145],"regularised":[146],"framework":[148],"for":[149],"boosting.":[151],"experimental":[153],"on":[155],"several":[156],"benchmarking":[157],"datasets":[158],"demonstrate":[159],"effectiveness":[161],"robustness":[163],"proposed":[166],"method,":[167],"as":[168],"compared":[169],"number":[172],"state-of-the-art":[174],"algorithms.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
