{"id":"https://openalex.org/W2980638283","doi":"https://doi.org/10.1109/lsp.2019.2947185","title":"Visual Tracking Via Multi-Layer Factorized Correlation Filter","display_name":"Visual Tracking Via Multi-Layer Factorized Correlation Filter","publication_year":2019,"publication_date":"2019-10-14","ids":{"openalex":"https://openalex.org/W2980638283","doi":"https://doi.org/10.1109/lsp.2019.2947185","mag":"2980638283"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2947185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2947185","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5023868028","display_name":"Bin Kang","orcid":"https://orcid.org/0000-0002-6054-7556"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Kang","raw_affiliation_strings":["Department of Internet of Things and the Jiangsu Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Internet of Things and the Jiangsu Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072809841","display_name":"Gaowei Chen","orcid":"https://orcid.org/0000-0002-6847-4013"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaowei Chen","raw_affiliation_strings":["Department of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087193137","display_name":"Quan Zhou","orcid":"https://orcid.org/0000-0002-7894-7929"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Zhou","raw_affiliation_strings":["Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101781340","display_name":"Jun Yan","orcid":"https://orcid.org/0000-0001-7113-0249"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yan","raw_affiliation_strings":["Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697981","display_name":"Min Lin","orcid":"https://orcid.org/0000-0002-0296-436X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Lin","raw_affiliation_strings":["Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023868028"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.2044,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55068203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":"12","first_page":"1763","last_page":"1767"},"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":0.9873999953269958,"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":0.9750000238418579,"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":0.8549513816833496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6996862292289734},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629030108451843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6530091166496277},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6170644760131836},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5961110591888428},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5702219605445862},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.558743417263031},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.49083858728408813},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.45649826526641846},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.44026339054107666},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43772655725479126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3436628580093384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2785223424434662}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8549513816833496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6996862292289734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629030108451843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6530091166496277},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6170644760131836},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5961110591888428},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5702219605445862},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.558743417263031},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49083858728408813},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.45649826526641846},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44026339054107666},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43772655725479126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3436628580093384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2785223424434662},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2019.2947185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2947185","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1613623347","display_name":null,"funder_award_id":"61771258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5251141579","display_name":null,"funder_award_id":"61876093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5460504034","display_name":null,"funder_award_id":"61871235","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6245398885","display_name":null,"funder_award_id":"61801242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8949608642","display_name":null,"funder_award_id":"61771256","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":33,"referenced_works":["https://openalex.org/W1997121481","https://openalex.org/W2089961441","https://openalex.org/W2113577207","https://openalex.org/W2154889144","https://openalex.org/W2156137575","https://openalex.org/W2158592639","https://openalex.org/W2186500555","https://openalex.org/W2214352687","https://openalex.org/W2469175529","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2518013266","https://openalex.org/W2557641257","https://openalex.org/W2608547192","https://openalex.org/W2681067697","https://openalex.org/W2742165450","https://openalex.org/W2773003563","https://openalex.org/W2786383677","https://openalex.org/W2792162533","https://openalex.org/W2797812763","https://openalex.org/W2798842862","https://openalex.org/W2799058067","https://openalex.org/W2887117060","https://openalex.org/W2963090248","https://openalex.org/W2963227409","https://openalex.org/W2964069521","https://openalex.org/W2964099559","https://openalex.org/W2964242925","https://openalex.org/W6649598916","https://openalex.org/W6687101057","https://openalex.org/W6720898849","https://openalex.org/W6726293469","https://openalex.org/W6757342389"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Pruning":[0],"the":[1,9,38,73,78,90,108,130,142,161],"parameters":[2],"of":[3,12,110,114,125,151,163],"basis":[4,51,104],"filters":[5],"can":[6,88,100],"effectively":[7,101],"eliminate":[8,141],"negative":[10],"effect":[11],"redundant":[13],"deep":[14,146],"features":[15],"in":[16,29,46,112,145],"discriminative":[17,79],"correlation":[18,40,65,80,91],"filter":[19,52,66,81],"based":[20],"trackers.":[21],"However,":[22],"traditional":[23],"methods":[24],"often":[25],"treat":[26],"feature":[27,44],"maps":[28,45],"Convolutional":[30],"Neural":[31],"Networks":[32],"(CNN)":[33],"as":[34],"isolate":[35],"observations,":[36],"ignore":[37],"intrinsic":[39],"between":[41,92],"partially":[42],"attentional":[43],"multiple":[47],"convolutional":[48],"layers,":[49],"when":[50],"pruning":[53],"is":[54],"pursued.":[55],"In":[56],"this":[57],"letter,":[58],"we":[59,87,118],"propose":[60],"a":[61,83,136],"multi-layer":[62,97,103],"factorized":[63],"discriminant":[64,75],"(MLF-DCF)":[67],"for":[68],"visual":[69],"tracking.":[70],"By":[71],"integrating":[72],"multi-view":[74],"learning":[76],"and":[77,116],"into":[82],"unified":[84,131],"optimization":[85],"problem,":[86],"explore":[89],"different":[93],"target":[94],"sub-regions":[95],"from":[96],"viewpoint,":[98],"thus":[99],"prune":[102],"filters.":[105],"To":[106],"enhance":[107],"efficiency":[109],"MLF-DCF":[111],"terms":[113],"speed":[115],"accuracy,":[117],"not":[119],"only":[120],"adopt":[121],"alternating":[122],"direction":[123],"method":[124],"multipliers":[126],"(ADMM)":[127],"to":[128,140,159],"solve":[129],"optimization,":[132],"but":[133],"also":[134],"employ":[135],"mask":[137],"estimation":[138],"strategy":[139],"background":[143],"noise":[144],"features.":[147],"A":[148],"large":[149],"number":[150],"experiments":[152],"on":[153],"challenging":[154],"video":[155],"sequences":[156],"are":[157],"given":[158],"illustrate":[160],"superiority":[162],"our":[164],"tracking":[165],"method.":[166]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
