{"id":"https://openalex.org/W4385415224","doi":"https://doi.org/10.1155/2023/6731717","title":"Robust Visual Object Tracking Based on Feature Channel Weighting and Game Theory","display_name":"Robust Visual Object Tracking Based on Feature Channel Weighting and Game Theory","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385415224","doi":"https://doi.org/10.1155/2023/6731717"},"language":"en","primary_location":{"id":"doi:10.1155/2023/6731717","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/6731717","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/6731717.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/ijis/2023/6731717.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068927949","display_name":"Sugang Ma","orcid":"https://orcid.org/0000-0002-8588-8111"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sugang Ma","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121","School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China"],"raw_orcid":"https://orcid.org/0000-0002-8588-8111","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012209770","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0003-3240-9671"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121","School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China"],"raw_orcid":"https://orcid.org/0000-0003-3240-9671","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053618028","display_name":"Zhiqiang Hou","orcid":"https://orcid.org/0000-0002-8059-5395"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Hou","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121","School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an University of Posts and Telecommunications, Xi\u2019an 710121, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679896","display_name":"Wangsheng Yu","orcid":"https://orcid.org/0000-0002-0968-8951"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangsheng Yu","raw_affiliation_strings":["School of Information and Navigation, Air Force Engineering University, Xi\u2019an 710077","School of Information and Navigation, Air Force Engineering University, Xi\u2019an 710077, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Navigation, Air Force Engineering University, Xi\u2019an 710077","institution_ids":["https://openalex.org/I4210104252"]},{"raw_affiliation_string":"School of Information and Navigation, Air Force Engineering University, Xi\u2019an 710077, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010591797","display_name":"Lei Pu","orcid":"https://orcid.org/0000-0002-4397-2155"},"institutions":[{"id":"https://openalex.org/I2801618472","display_name":"PLA Rocket Force University of Engineering","ror":"https://ror.org/00gg5zj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I2801618472"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Pu","raw_affiliation_strings":["School of Operational Support, Rocket Force Engineering University, Xi\u2019an 710025","School of Operational Support, Rocket Force Engineering University, Xi\u2019an 710025, China"],"raw_orcid":"https://orcid.org/0000-0002-4397-2155","affiliations":[{"raw_affiliation_string":"School of Operational Support, Rocket Force Engineering University, Xi\u2019an 710025","institution_ids":["https://openalex.org/I2801618472"]},{"raw_affiliation_string":"School of Operational Support, Rocket Force Engineering University, Xi\u2019an 710025, China","institution_ids":["https://openalex.org/I2801618472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116592761","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-1520-9360"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an 710129","School of Automation, Northwestern Polytechnical University, Xi\u2019an 710129, China"],"raw_orcid":"https://orcid.org/0000-0003-1520-9360","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an 710129","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an 710129, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012209770"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":{"value":2500,"currency":"USD","value_usd":2500},"fwci":0.8509,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75097245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2023","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":0.9997000098228455,"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":0.9997000098228455,"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/T13567","display_name":"AI and Multimedia in Education","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9729999899864197,"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/computer-science","display_name":"Computer science","score":0.7011890411376953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6989978551864624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6353903412818909},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6198875308036804},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6021100282669067},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.584135890007019},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5818129777908325},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.48968175053596497},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.4609776735305786},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45355042815208435},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44846755266189575},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.37427818775177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3734622597694397},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2558330297470093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7011890411376953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6989978551864624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6353903412818909},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6198875308036804},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6021100282669067},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.584135890007019},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5818129777908325},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.48968175053596497},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.4609776735305786},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45355042815208435},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44846755266189575},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.37427818775177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3734622597694397},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2558330297470093},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2023/6731717","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/6731717","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/6731717.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2023/6731717","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/6731717","pdf_url":"https://downloads.hindawi.com/journals/ijis/2023/6731717.pdf","source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1997351925","display_name":null,"funder_award_id":"2023-JC-YB-598","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G3418833058","display_name":null,"funder_award_id":"2023-JC-YB-598","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5579199875","display_name":null,"funder_award_id":"22GXFW0125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7321364064","display_name":"\u957f\u65f6\u89c6\u89c9\u8ddf\u8e2a\u4e2d\u7684\u5b9e\u4f8b\u7279\u5f81\u8868\u8fbe\u53ca\u91cd\u68c0\u6d4b\u95ee\u9898\u7814\u7a76","funder_award_id":"62072370","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/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385415224.pdf"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1857884451","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2089961441","https://openalex.org/W2154889144","https://openalex.org/W2214352687","https://openalex.org/W2242218935","https://openalex.org/W2244956674","https://openalex.org/W2470394683","https://openalex.org/W2518013266","https://openalex.org/W2518876086","https://openalex.org/W2557641257","https://openalex.org/W2558899534","https://openalex.org/W2599547527","https://openalex.org/W2605381261","https://openalex.org/W2735900011","https://openalex.org/W2742165450","https://openalex.org/W2768634781","https://openalex.org/W2798842862","https://openalex.org/W2799058067","https://openalex.org/W2886910176","https://openalex.org/W2889515581","https://openalex.org/W2891033863","https://openalex.org/W2912041066","https://openalex.org/W2913466142","https://openalex.org/W2955983623","https://openalex.org/W2962824803","https://openalex.org/W2963534981","https://openalex.org/W2963571423","https://openalex.org/W2964069521","https://openalex.org/W2964111344","https://openalex.org/W2964242925","https://openalex.org/W2985509612","https://openalex.org/W2987346479","https://openalex.org/W2987460522","https://openalex.org/W2989688045","https://openalex.org/W2990187711","https://openalex.org/W2997896013","https://openalex.org/W3024883262","https://openalex.org/W3034326629","https://openalex.org/W3035453691","https://openalex.org/W3035466700","https://openalex.org/W3035725297","https://openalex.org/W3045690369","https://openalex.org/W3095342686","https://openalex.org/W3096121255","https://openalex.org/W3102624093","https://openalex.org/W3127796792","https://openalex.org/W3133843506","https://openalex.org/W3152647699","https://openalex.org/W3167454939","https://openalex.org/W3197433013","https://openalex.org/W3205988948","https://openalex.org/W3215098936","https://openalex.org/W4200336372","https://openalex.org/W4200570742","https://openalex.org/W4207024994","https://openalex.org/W4213078046","https://openalex.org/W4214862540","https://openalex.org/W4220716944","https://openalex.org/W4285267763","https://openalex.org/W4285606031","https://openalex.org/W4292183660"],"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":{"Although":[0],"the":[1,20,23,35,43,49,60,105,110,116,121,135,142,161,171,176,211,218],"discriminative":[2],"correlation":[3],"filter\u2010":[4],"(DCF)\u2010based":[5],"tracker":[6],"improves":[7],"tracking":[8,71,177,197],"performance,":[9],"some":[10],"object":[11,70],"representation":[12,187],"issues":[13],"can":[14],"still":[15],"be":[16],"further":[17],"optimized.":[18],"On":[19,48],"one":[21],"hand,":[22,51],"DCF":[24],"tracker\u2019s":[25],"deep":[26,153],"convolutional":[27,154],"features":[28,147,155,164],"contain":[29],"many":[30],"noisy":[31],"channels,":[32],"and":[33,78,112,119,130,152,204],"assigning":[34],"same":[36],"weights":[37,99,125],"to":[38,82,96,100,126,157,179,217],"multiple":[39],"channels":[40,118,122],"cannot":[41,57],"distinguish":[42],"importance":[44],"of":[45,62,109,170],"different":[46,63],"channels.":[47],"other":[50],"a":[52,68,181,185],"simple":[53],"weighted":[54],"fusion":[55,81],"approach":[56],"fully":[58],"utilize":[59],"benefits":[61],"feature":[64,79,117,128,158,182],"types.":[65],"We":[66],"propose":[67],"visual":[69,196],"algorithm":[72,213],"based":[73,103],"on":[74,104,193],"adaptive":[75,90],"channel":[76,91,102],"weighting":[77,92],"game":[80,136],"solve":[83],"these":[84],"problems.":[85],"In":[86],"this":[87],"study,":[88],"an":[89],"strategy":[93],"is":[94,139],"designed":[95],"assign":[97],"suitable":[98],"each":[101],"average":[106],"energy":[107],"ratio":[108],"target":[111],"background":[113],"regions":[114],"in":[115,141],"prune":[120],"with":[123,150,184],"low":[124],"improve":[127],"robustness":[129],"reduce":[131],"computational":[132],"complexity.":[133],"Simultaneously,":[134],"theory":[137],"concept":[138],"introduced":[140],"multifeature":[143],"fusion.":[144],"The":[145,206],"handcrafted":[146],"are":[148,165,191],"combined":[149,163],"shallow":[151],"according":[156],"complementarity.":[159],"Then,":[160],"two":[162,168],"seen":[166],"as":[167],"sides":[169],"game,":[172],"continuously":[173],"gamed":[174],"during":[175],"process":[178],"generate":[180],"model":[183],"higher":[186],"capacity.":[188],"Extensive":[189],"experiments":[190],"conducted":[192],"four":[194],"mainstream":[195],"benchmark":[198],"datasets,":[199],"including":[200],"OTB2015,":[201],"VOT2018,":[202],"LaSOT,":[203],"UAV123.":[205],"experimental":[207],"results":[208],"show":[209],"that":[210],"proposed":[212],"performs":[214],"outstandingly":[215],"compared":[216],"state\u2010of\u2010the\u2010art":[219],"trackers.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
