{"id":"https://openalex.org/W4313417605","doi":"https://doi.org/10.1186/s13634-022-00954-4","title":"Long-term tracking with transformer and template update","display_name":"Long-term tracking with transformer and template update","publication_year":2022,"publication_date":"2022-12-28","ids":{"openalex":"https://openalex.org/W4313417605","doi":"https://doi.org/10.1186/s13634-022-00954-4"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-022-00954-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00954-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00954-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00954-4","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002688153","display_name":"Hongying Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongying Zhang","raw_affiliation_strings":["Civil Aviation University of China, Jinbei Road, Tianjin, 300300, China"],"raw_orcid":"https://orcid.org/0000-0001-8113-9810","affiliations":[{"raw_affiliation_string":"Civil Aviation University of China, Jinbei Road, Tianjin, 300300, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101889052","display_name":"Xiaowen Peng","orcid":"https://orcid.org/0000-0003-4137-5274"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Peng","raw_affiliation_strings":["Civil Aviation University of China, Jinbei Road, Tianjin, 300300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil Aviation University of China, Jinbei Road, Tianjin, 300300, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076291594","display_name":"Xuyong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyong Wang","raw_affiliation_strings":["Civil Aviation University of China, Jinbei Road, Tianjin, 300300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil Aviation University of China, Jinbei Road, Tianjin, 300300, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002688153"],"corresponding_institution_ids":["https://openalex.org/I28813325"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.1015,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41882228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9911999702453613,"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":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.7343515753746033},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6424254775047302},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6321040987968445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.479299932718277},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4312555193901062},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4305607080459595},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.42678046226501465},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42532992362976074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3382818102836609}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343515753746033},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6424254775047302},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6321040987968445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.479299932718277},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4312555193901062},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4305607080459595},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.42678046226501465},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42532992362976074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3382818102836609},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-022-00954-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00954-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00954-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2299711249ec4dae942d9efc07a3143b","is_oa":false,"landing_page_url":"https://doaj.org/article/2299711249ec4dae942d9efc07a3143b","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-17 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-022-00954-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-022-00954-4","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-022-00954-4","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1047230383","display_name":null,"funder_award_id":"2018YFB1601200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321565","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313417605.pdf","grobid_xml":"https://content.openalex.org/works/W4313417605.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2124211486","https://openalex.org/W2194775991","https://openalex.org/W2470394683","https://openalex.org/W2606797870","https://openalex.org/W2792121015","https://openalex.org/W2794669410","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2891033863","https://openalex.org/W2891657263","https://openalex.org/W2898200825","https://openalex.org/W2962766617","https://openalex.org/W2962825948","https://openalex.org/W2963534981","https://openalex.org/W2966759264","https://openalex.org/W2985509612","https://openalex.org/W2987460522","https://openalex.org/W2990187711","https://openalex.org/W2997896013","https://openalex.org/W3001584168","https://openalex.org/W3035453691","https://openalex.org/W3035672751","https://openalex.org/W3035725297","https://openalex.org/W3096609285","https://openalex.org/W3097289768","https://openalex.org/W3119686997","https://openalex.org/W3126985139","https://openalex.org/W3174225630","https://openalex.org/W3176161017","https://openalex.org/W4214759957","https://openalex.org/W4312805142","https://openalex.org/W6600195515","https://openalex.org/W6603776078","https://openalex.org/W6607919353","https://openalex.org/W6763509872"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2084086966","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W42295635","https://openalex.org/W4205302943","https://openalex.org/W1973996291","https://openalex.org/W2119949815","https://openalex.org/W2561132942","https://openalex.org/W2142795561"],"abstract_inverted_index":{"Abstract":[0],"Aiming":[1],"at":[2],"the":[3,8,11,14,29,46,56,59,67,70,77,85,89,95,103,106,121,124,128,134,139,144,147,152,171,175,222,225],"tracking":[4,17,25,110,132,145],"failure":[5],"due":[6],"to":[7,54,108,119,151],"disappearance":[9],"of":[10,36,58,123,127,146,177,224],"target":[12,16,24,71,90,98],"in":[13,66,88,133,227],"long-term":[15,23],"process,":[18],"this":[19,156,228],"paper":[20],"proposes":[21],"a":[22,40,50,115],"network":[26,43,60],"based":[27,44],"on":[28,45,102,162,194,204],"visual":[30],"transformer":[31,47],"and":[32,48,84,167,170,206],"template":[33,126,142],"update.":[34],"First":[35],"all,":[37],"we":[38,113,158],"construct":[39],"feature":[41,63],"extraction":[42],"adopt":[49],"knowledge":[51],"distillation":[52],"strategy":[53],"improve":[55],"effectiveness":[57,176],"for":[61,143],"global":[62],"extraction.":[64],"Secondly,":[65],"modeling":[68],"transformer,":[69],"features":[72,80],"are":[73,100],"fully":[74],"fused":[75],"with":[76],"search":[78],"area":[79],"by":[81,94,185,210],"using":[82],"encoder,":[83],"position":[86],"information":[87,104],"query":[91],"is":[92],"learned":[93],"decoder.":[96],"Then,":[97],"predictions":[99],"performed":[101,159],"from":[105],"encoder\u2013decoder":[107],"obtain":[109],"results.":[111],"Meanwhile,":[112],"design":[114],"score":[116,153],"head":[117],"model":[118],"judge":[120],"validity":[122],"dynamic":[125,141],"current":[129],"frame":[130,149],"before":[131],"next":[135,148],"frame.":[136],"We":[137],"select":[138],"appropriate":[140],"according":[150],"result.":[154],"In":[155,180],"paper,":[157],"extensive":[160],"experiments":[161],"LaSOT,":[163,205],"VOT2021-LT,":[164,195],"TrackingNet,":[165],"TLP,":[166],"UAV123":[168],"datasets,":[169],"experimental":[172],"results":[173],"prove":[174],"our":[178],"method.":[179],"particular,":[181],"it":[182],"exceeds":[183],"STARK":[184,209],"0.8":[186],"$$\\%$$":[187,197,212],"<mml:math":[188,198,213],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[189,199,214],"<mml:mo>%</mml:mo>":[190,200,215],"</mml:math>":[191,201,216],"(F":[192],"score)":[193,203],"1.0":[196],"(S":[202],"TrackingNet":[207],"exceed":[208],"1.1":[211],"(NP":[217],"score),":[218],"which":[219],"also":[220],"demonstrates":[221],"superiority":[223],"method":[226],"paper.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}