{"id":"https://openalex.org/W2966746062","doi":"https://doi.org/10.1109/tcsvt.2019.2931924","title":"A Comparison of Correlation Filter-Based Trackers and Struck Trackers","display_name":"A Comparison of Correlation Filter-Based Trackers and Struck Trackers","publication_year":2019,"publication_date":"2019-07-30","ids":{"openalex":"https://openalex.org/W2966746062","doi":"https://doi.org/10.1109/tcsvt.2019.2931924","mag":"2966746062"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2931924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2931924","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/A5058420913","display_name":"Jinqiao Wang","orcid":"https://orcid.org/0000-0002-9118-2780"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinqiao Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012126618","display_name":"Linyu Zheng","orcid":"https://orcid.org/0000-0001-9003-4068"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linyu Zheng","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110938150","display_name":"Ming Tang","orcid":"https://orcid.org/0000-0003-4976-3095"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Tang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056543021","display_name":"Jiayi Feng","orcid":"https://orcid.org/0000-0002-1435-4534"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Feng","raw_affiliation_strings":["Microsoft Search Technology Center Asia (STCA), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Search Technology Center Asia (STCA), Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058420913"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.6073,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7219347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":"9","first_page":"3106","last_page":"3118"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9922000169754028,"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":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.7212395668029785},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6102445721626282},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6099909543991089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5405387878417969},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5077760815620422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48648685216903687},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48427528142929077},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4781421422958374},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.46283459663391113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44862160086631775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44862088561058044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.418704092502594},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11462745070457458},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09270921349525452}],"concepts":[{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.7212395668029785},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6102445721626282},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6099909543991089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5405387878417969},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5077760815620422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48648685216903687},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48427528142929077},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4781421422958374},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.46283459663391113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44862160086631775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44862088561058044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.418704092502594},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11462745070457458},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09270921349525452}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2019.2931924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2931924","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G5582725067","display_name":null,"funder_award_id":"61772527","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":36,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W1892578678","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1980160491","https://openalex.org/W1997121481","https://openalex.org/W2016075127","https://openalex.org/W2024029849","https://openalex.org/W2044986361","https://openalex.org/W2047221353","https://openalex.org/W2047237558","https://openalex.org/W2049457635","https://openalex.org/W2077843102","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2124211486","https://openalex.org/W2149829493","https://openalex.org/W2150472583","https://openalex.org/W2154889144","https://openalex.org/W2157452486","https://openalex.org/W2158592639","https://openalex.org/W2211807644","https://openalex.org/W2214352687","https://openalex.org/W2343187456","https://openalex.org/W2469582947","https://openalex.org/W2474599091","https://openalex.org/W2518013266","https://openalex.org/W2557641257","https://openalex.org/W2599547527","https://openalex.org/W2964264751","https://openalex.org/W4205265922","https://openalex.org/W4292363360","https://openalex.org/W6606595081","https://openalex.org/W6662317391","https://openalex.org/W6682293347","https://openalex.org/W6726293469"],"related_works":["https://openalex.org/W2803618243","https://openalex.org/W3020706491","https://openalex.org/W256589335","https://openalex.org/W2804764393","https://openalex.org/W4385454113","https://openalex.org/W4386114301","https://openalex.org/W4386158955","https://openalex.org/W4384788979","https://openalex.org/W2511178891","https://openalex.org/W2126676984"],"abstract_inverted_index":{"In":[0,41],"recent":[1],"years,":[2],"two":[3,46],"types":[4],"of":[5,30,96,104,125,133,139,149],"trackers,":[6,49],"namely":[7],"correlation":[8,54,58],"filter-based":[9],"tracker":[10,16],"(CF":[11],"tracker)":[12],"and":[13,57,64,66,86,115,158,172,190],"structured":[14],"output":[15],"(struck),":[17],"have":[18],"exhibited":[19],"the":[20,37,73,82,89,92,101,109,118,121,137,151,159],"state-of-the-art":[21,47],"performance.":[22],"However,":[23],"there":[24],"seems":[25],"to":[26,75,163,176,195],"be":[27],"a":[28],"lack":[29],"analytic":[31],"work":[32],"on":[33,88,117,168,199],"their":[34,68],"relations":[35],"in":[36,141],"computer":[38],"vision":[39],"community.":[40],"this":[42],"paper,":[43],"we":[44,80,182],"investigate":[45],"CF":[48],"i.e.,":[50],"spatial":[51,93,122],"regularization":[52,94,123],"discriminative":[53],"filter":[55,59],"(SRDCF)":[56],"with":[60],"limited":[61],"boundaries":[62],"(CFLB),":[63],"struck,":[65,150,157],"reveal":[67],"relations.":[69],"Specifically,":[70],"after":[71],"extending":[72],"CFLB":[74,87],"its":[76,142],"multiple":[77],"channel":[78],"versions,":[79],"prove":[81,108],"relation":[83,112],"between":[84,113],"SRDCF":[85,97,114,126,140],"condition":[90],"that":[91,120],"factor":[95,124],"is":[98,127,154],"replaced":[99,128,146],"by":[100,129,147,156],"masking":[102],"matrix":[103],"CFLB.":[105],"We":[106],"also":[107],"asymptotical":[110],"approximate":[111],"struck":[116],"conditions":[119],"an":[130],"indicator":[131],"function":[132],"object":[134],"bounding":[135],"box,":[136],"weights":[138],"loss":[143],"item":[144],"are":[145,174],"those":[148],"linear":[152],"kernel":[153],"employed":[155],"search":[160],"region":[161],"tends":[162],"infinity.":[164],"The":[165],"extensive":[166],"experiments":[167],"public":[169],"benchmarks":[170],"OTB50":[171],"OTB100":[173],"conducted":[175],"verify":[177],"our":[178],"theoretical":[179],"results.":[180],"Moreover,":[181],"explain":[183],"how":[184],"detailed":[185],"differences":[186],"among":[187],"SRDCF,":[188],"CFLB,":[189],"Struck":[191],"would":[192],"give":[193],"rise":[194],"slightly":[196],"different":[197],"performances":[198],"visual":[200],"sequences.":[201]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}