{"id":"https://openalex.org/W2774104464","doi":"https://doi.org/10.1109/access.2017.2778740","title":"Robust Object Tracking via Large Margin and Scale-Adaptive Correlation Filter","display_name":"Robust Object Tracking via Large Margin and Scale-Adaptive Correlation Filter","publication_year":2017,"publication_date":"2017-12-11","ids":{"openalex":"https://openalex.org/W2774104464","doi":"https://doi.org/10.1109/access.2017.2778740","mag":"2774104464"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2778740","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2778740","pdf_url":null,"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://doi.org/10.1109/access.2017.2778740","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100374860","display_name":"Junwei Li","orcid":"https://orcid.org/0000-0001-6957-3059"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Li","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036387111","display_name":"Xiaolong Zhou","orcid":"https://orcid.org/0000-0003-0732-5169"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zhou","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0732-5169","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003029072","display_name":"Sixian Chan","orcid":"https://orcid.org/0000-0001-8916-1174"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sixian Chan","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055627037","display_name":"Shengyong Chen","orcid":"https://orcid.org/0000-0002-6705-3831"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengyong Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":1.2627,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88186722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"12642","last_page":"12655"},"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":0.9718999862670898,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9258999824523926,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/discriminative-model","display_name":"Discriminative model","score":0.8241355419158936},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.8120388984680176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7519951462745667},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7334353923797607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6738687753677368},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6126627922058105},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5768665075302124},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5620210766792297},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5252541899681091},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4890492856502533},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44561365246772766},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.44006410241127014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4114239811897278},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.308932900428772},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.2771994471549988},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2513236999511719},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09186363220214844}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8241355419158936},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.8120388984680176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7519951462745667},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7334353923797607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6738687753677368},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6126627922058105},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5768665075302124},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5620210766792297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5252541899681091},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4890492856502533},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44561365246772766},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.44006410241127014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4114239811897278},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.308932900428772},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2771994471549988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2513236999511719},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09186363220214844},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2778740","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2778740","pdf_url":null,"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:689a3ed8244c42f38b49efbc13dac9d7","is_oa":true,"landing_page_url":"https://doaj.org/article/689a3ed8244c42f38b49efbc13dac9d7","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 6, Pp 12642-12655 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2778740","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2778740","pdf_url":null,"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":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3314868830","display_name":null,"funder_award_id":"61325019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3447508769","display_name":null,"funder_award_id":"U1509207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4643986812","display_name":null,"funder_award_id":"LY18F030020","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7716301995","display_name":null,"funder_award_id":"61403342","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/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1686810756","https://openalex.org/W1854404533","https://openalex.org/W1892578678","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1972619391","https://openalex.org/W1977709942","https://openalex.org/W1997121481","https://openalex.org/W2016075127","https://openalex.org/W2023640470","https://openalex.org/W2044986361","https://openalex.org/W2089961441","https://openalex.org/W2098854771","https://openalex.org/W2139047213","https://openalex.org/W2147533695","https://openalex.org/W2150469677","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2159381505","https://openalex.org/W2161969291","https://openalex.org/W2165232124","https://openalex.org/W2167089254","https://openalex.org/W2183648259","https://openalex.org/W2244956674","https://openalex.org/W2343187456","https://openalex.org/W2421627342","https://openalex.org/W2473868734","https://openalex.org/W2519602334","https://openalex.org/W2520477759","https://openalex.org/W2557641257","https://openalex.org/W2579238278","https://openalex.org/W2593873012","https://openalex.org/W2599215685","https://openalex.org/W2606318548","https://openalex.org/W2681067697","https://openalex.org/W2735579111","https://openalex.org/W2950779027","https://openalex.org/W2964111344","https://openalex.org/W3102624093","https://openalex.org/W6606595081","https://openalex.org/W6623108133","https://openalex.org/W6638992375","https://openalex.org/W6649598916"],"related_works":["https://openalex.org/W2803618243","https://openalex.org/W256589335","https://openalex.org/W3020706491","https://openalex.org/W2804764393","https://openalex.org/W4385454113","https://openalex.org/W4386114301","https://openalex.org/W4386158955","https://openalex.org/W2012200063","https://openalex.org/W4320086059","https://openalex.org/W4210734798"],"abstract_inverted_index":{"Due":[0],"to":[1,82,88,125,135,139,154,190,196],"the":[2,63,98,101,113,140,147,184,191,197,207],"impressive":[3],"performance":[4,209],"and":[5,28,35,43,45,103,194,203],"computational":[6],"efficiency":[7],"of":[8,20,120],"correlation":[9],"filter":[10],"(CF)based":[11],"object":[12],"tracking":[13,29,60,157,165,186],"methods,":[14],"CF":[15,64,75,84,128,137],"trackers":[16,85],"have":[17],"gained":[18],"lots":[19],"popularity":[21],"in":[22,66,115],"recent":[23],"years.":[24],"However,":[25],"target":[26,36,90,102,117,141,170,198],"drift":[27],"failure":[30],"caused":[31],"by":[32,76,106,129,169],"background":[33,79,105,108,192],"clutter":[34,193],"appearance":[37,171],"change":[38],"(resulting":[39],"from":[40],"scale":[41,118,131,142,199],"variation":[42,119],"deformation":[44],"so":[46],"on)":[47],"are":[48],"still":[49],"challenging":[50],"tasks.":[51],"To":[52,111],"overcome":[53],"these":[54],"challenges,":[55],"we":[56,70,92,123,145],"propose":[57,124],"a":[58,72,94,127],"new":[59],"method":[61,161,187],"within":[62],"framework":[65,153],"this":[67],"paper.":[68],"First,":[69],"learn":[71],"large":[73],"margin":[74,99],"exploiting":[77,107],"discriminative":[78,195],"patches.":[80],"Contrary":[81],"conventional":[83],"that":[86,96,183],"aim":[87],"maximize":[89],"response,":[91],"model":[93],"tracker":[95],"maximizes":[97],"between":[100],"surrounding":[104],"information":[109],"effectively.":[110],"remedy":[112],"deficiency":[114],"handling":[116],"CF-based":[121],"trackers,":[122],"train":[126],"multi-level":[130],"supervision,":[132],"which":[133],"aims":[134],"make":[136],"sensitive":[138],"variation.":[143,200],"Then,":[144],"integrate":[146],"two":[148],"individual":[149],"modules":[150],"into":[151],"one":[152],"simplify":[155],"our":[156],"model.":[158],"The":[159],"proposed":[160,185],"can":[162],"effectively":[163],"prevent":[164],"module":[166],"degradation":[167],"introduced":[168],"changes.":[172],"Extensive":[173],"experiments":[174],"conducted":[175],"on":[176],"public":[177],"available":[178],"data":[179],"sets":[180],"OTB-50/100":[181],"demonstrate":[182],"is":[188],"robust":[189],"Both":[201],"qualitative":[202],"quantitative":[204],"results":[205],"show":[206],"excellent":[208],"against":[210],"some":[211],"state-of-the-art":[212],"trackers.":[213]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}