{"id":"https://openalex.org/W3085560000","doi":"https://doi.org/10.1109/tcsvt.2020.3023809","title":"Structured and Consistent Multi-Layer Multi-Kernel Subtask Correction Filter Tracker","display_name":"Structured and Consistent Multi-Layer Multi-Kernel Subtask Correction Filter Tracker","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3085560000","doi":"https://doi.org/10.1109/tcsvt.2020.3023809","mag":"3085560000"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3023809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3023809","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/A5088609880","display_name":"Baojie Fan","orcid":"https://orcid.org/0000-0002-1627-9726"},"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"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baojie Fan","raw_affiliation_strings":["Automation College, NJUPT, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1627-9726","affiliations":[{"raw_affiliation_string":"Automation College, NJUPT, Nanjing, China","institution_ids":["https://openalex.org/I41198531","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006477225","display_name":"Yang Cong","orcid":"https://orcid.org/0000-0002-5102-0189"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cong","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5102-0189","affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091319287","display_name":"Yandong Tang","orcid":"https://orcid.org/0000-0003-3805-7654"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yandong Tang","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3805-7654","affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818810","display_name":"Jiandong Tian","orcid":"https://orcid.org/0000-0002-5027-1381"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Tian","raw_affiliation_strings":["Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5027-1381","affiliations":[{"raw_affiliation_string":"Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064805926","display_name":"Chenliang Xu","orcid":"https://orcid.org/0000-0002-2183-822X"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenliang Xu","raw_affiliation_strings":["University of Rochester, Rochester, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-2183-822X","affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3847,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59409759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":"6","first_page":"2328","last_page":"2342"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9919999837875366,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9621999859809875,"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/kernel","display_name":"Kernel (algebra)","score":0.6410596966743469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.622641921043396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066386699676514},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5785498023033142},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.518161416053772},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4990808963775635},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.42692112922668457},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39155542850494385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3461289405822754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2886131703853607}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6410596966743469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.622641921043396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066386699676514},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5785498023033142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.518161416053772},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4990808963775635},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.42692112922668457},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39155542850494385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3461289405822754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2886131703853607},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2020.3023809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3023809","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:ir.sia.cn/:173321/29339","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/29339","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1750283418","display_name":null,"funder_award_id":"2019-O07","funder_id":"https://openalex.org/F4320326907","funder_display_name":"State Key Laboratory of Robotics"},{"id":"https://openalex.org/G8058931698","display_name":null,"funder_award_id":"2019YFB1310300","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G8711579283","display_name":"\u57fa\u4e8e\u5143\u6ce8\u610f\u529b\u673a\u5236\u7684\u6c34\u4e0b\u673a\u5668\u4eba\u591a\u4efb\u52a1\u8ddf\u8e2a\u51b3\u7b56\u7814\u7a76","funder_award_id":"61876092","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/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320326907","display_name":"State Key Laboratory of Robotics","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W134197611","https://openalex.org/W161114242","https://openalex.org/W182940129","https://openalex.org/W818325216","https://openalex.org/W844438078","https://openalex.org/W1667473330","https://openalex.org/W1854404533","https://openalex.org/W1857884451","https://openalex.org/W1908905119","https://openalex.org/W1915599933","https://openalex.org/W1915785815","https://openalex.org/W1937954682","https://openalex.org/W1955741794","https://openalex.org/W1963882359","https://openalex.org/W1964846093","https://openalex.org/W2030161963","https://openalex.org/W2036555650","https://openalex.org/W2089961441","https://openalex.org/W2094919853","https://openalex.org/W2102674365","https://openalex.org/W2126302311","https://openalex.org/W2135562430","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2244956674","https://openalex.org/W2343176516","https://openalex.org/W2344989787","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2513005088","https://openalex.org/W2518013266","https://openalex.org/W2520477759","https://openalex.org/W2524130909","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2586634603","https://openalex.org/W2599547527","https://openalex.org/W2604793351","https://openalex.org/W2610871254","https://openalex.org/W2681067697","https://openalex.org/W2735270199","https://openalex.org/W2740685955","https://openalex.org/W2767302379","https://openalex.org/W2771877920","https://openalex.org/W2776035257","https://openalex.org/W2784746431","https://openalex.org/W2790486454","https://openalex.org/W2795210153","https://openalex.org/W2797812763","https://openalex.org/W2799058067","https://openalex.org/W2799148928","https://openalex.org/W2800990595","https://openalex.org/W2808989867","https://openalex.org/W2883580176","https://openalex.org/W2891033863","https://openalex.org/W2894176037","https://openalex.org/W2894682667","https://openalex.org/W2894961023","https://openalex.org/W2895588569","https://openalex.org/W2895615633","https://openalex.org/W2916780012","https://openalex.org/W2917435394","https://openalex.org/W2962719749","https://openalex.org/W2962824803","https://openalex.org/W2962864296","https://openalex.org/W2963051855","https://openalex.org/W2963249584","https://openalex.org/W2963791342","https://openalex.org/W2963854930","https://openalex.org/W2964069521","https://openalex.org/W2964099559","https://openalex.org/W2964111344","https://openalex.org/W2964198573","https://openalex.org/W2964242925","https://openalex.org/W2964264751","https://openalex.org/W3097992810","https://openalex.org/W3102624093","https://openalex.org/W3105214483","https://openalex.org/W3125175538","https://openalex.org/W6605365747","https://openalex.org/W6623108133","https://openalex.org/W6638992375","https://openalex.org/W6726083677"],"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/W3131016912","https://openalex.org/W2404514746","https://openalex.org/W1652783584"],"abstract_inverted_index":{"Some":[0],"multi-task":[1],"correlation":[2,61,79,118,140,178],"filter":[3,62,119,220,231],"trackers":[4],"achieve":[5],"the":[6,34,45,69,107,117,132,170,183,191,200,217,229,240,245,256,260,266,279],"top-ranked":[7],"performance":[8],"in":[9],"terms":[10,211],"of":[11,21,39,48,71,121,174,187,196,251,284],"accuracy":[12],"and":[13,37,42,77,115,137,152,156,172,190,234,248,282],"robustness.":[14],"However,":[15],"they":[16],"directly":[17],"fuse":[18],"multiple":[19],"types":[20],"features":[22,93],"into":[23,109,142,222],"a":[24,57,129,143],"single":[25],"kernel":[26,86],"space.":[27],"This":[28,202],"operation":[29,203],"fails":[30],"to":[31,88,95,98,228],"fully":[32],"explore":[33],"discriminative":[35],"strength":[36],"diversity":[38],"different":[40,49,113],"features,":[41],"also":[43,181],"ignores":[44],"structured":[46,58,78,139],"correspondence":[47],"tasks.":[50],"To":[51],"solve":[52],"these":[53],"issues,":[54],"we":[55,82,105,134],"propose":[56],"multi-kernel":[59,74,96,145,176,218],"subtask":[60,75,146,177,219,236,253],"tracker":[63,166],"with":[64,112,124,160,212],"temporal-spatial":[65],"consistency,":[66],"which":[67,215],"enjoys":[68],"merits":[70],"both":[72],"layered":[73,175],"learning":[76],"filter.":[80],"Specifically,":[81],"firstly":[83],"assign":[84],"one":[85,125],"space":[87],"each":[89,122,158],"channel":[90,126],"feature.":[91],"Multi-channel":[92],"correspond":[94,227],"spaces":[97],"boost":[99],"their":[100],"powerful":[101],"discriminability.":[102],"And":[103],"then,":[104],"divide":[106],"target":[108],"multi-layer":[110,252],"patches":[111],"sizes,":[114],"regard":[116],"trace":[120],"patch":[123],"feature":[127,232],"as":[128],"subtask.":[130],"In":[131],"following,":[133],"incorporate":[135],"globally":[136],"locally":[138],"filters":[141,254],"unified":[144],"particle":[147],"tracking":[148,242,261],"framework.":[149],"The":[150,164],"global":[151,188],"local":[153,197],"subtasks":[154,198],"complement":[155],"enhance":[157],"other":[159],"similar":[161],"motion":[162],"model.":[163],"proposed":[165],"not":[167],"only":[168],"exploits":[169],"cooperation":[171],"complementarity":[173],"filters,":[179],"but":[180],"mines":[182],"underlying":[184],"geometric":[185],"structure":[186],"subtasks,":[189],"inner":[192],"spatial":[193,249],"locality":[194],"correspondences":[195],"inside":[199],"target.":[201],"is":[204,263],"achieved":[205],"by":[206,265],"dual":[207],"group":[208],"sparsity":[209],"regularized":[210],"mixed-norm":[213],"lp,q,":[214],"decomposes":[216],"matrix":[221],"two":[223],"collaborative":[224],"components.":[225],"They":[226],"adaptive":[230],"selection":[233],"outlier":[235],"detection,":[237],"respectively.":[238],"Besides,":[239],"developed":[241],"model":[243],"maintains":[244],"temporal":[246],"coherence":[247],"consistency":[250],"via":[255],"smooth":[257],"regularizer.":[258],"Finally,":[259],"formulation":[262],"optimized":[264],"accelerated":[267],"proximal":[268],"gradient":[269],"approach":[270],"(APG).":[271],"Encouraging":[272],"analyses":[273],"on":[274],"six":[275],"benchmark":[276],"datasets,":[277],"verify":[278],"favorable":[280],"effectiveness":[281],"robustness":[283],"our":[285],"method":[286],"against":[287],"state-of-the-art":[288],"trackers.":[289]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}