{"id":"https://openalex.org/W4404563513","doi":"https://doi.org/10.1109/access.2024.3503674","title":"Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm","display_name":"Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404563513","doi":"https://doi.org/10.1109/access.2024.3503674"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3503674","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3503674","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2024.3503674","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090281757","display_name":"Lijuan Xu","orcid":"https://orcid.org/0000-0003-0377-6659"},"institutions":[{"id":"https://openalex.org/I4210113138","display_name":"Guangzhou Automobile Group (China)","ror":"https://ror.org/026fzn952","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210113138"]},{"id":"https://openalex.org/I4400573295","display_name":"Guangzhou Huashang College","ror":"https://ror.org/0546x0d08","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573295"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijuan Xu","raw_affiliation_strings":["School of Artificial Intelligence, Guangzhou Huashang College, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guangzhou Huashang College, Guangzhou, China","institution_ids":["https://openalex.org/I4210113138","https://openalex.org/I4400573295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016886667","display_name":"Dalong Liu","orcid":"https://orcid.org/0009-0003-9895-3554"},"institutions":[{"id":"https://openalex.org/I4210106134","display_name":"Guangzhou Vocational College of Science and Technology","ror":"https://ror.org/01dan7p53","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210106134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dalong Liu","raw_affiliation_strings":["School of Intelligent Engineering, Guangzhou Huashang Vocational College, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Engineering, Guangzhou Huashang Vocational College, Guangzhou, China","institution_ids":["https://openalex.org/I4210106134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068943172","display_name":"Huanjian Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113138","display_name":"Guangzhou Automobile Group (China)","ror":"https://ror.org/026fzn952","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210113138"]},{"id":"https://openalex.org/I4400573295","display_name":"Guangzhou Huashang College","ror":"https://ror.org/0546x0d08","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanjian Ma","raw_affiliation_strings":["School of Artificial Intelligence, Guangzhou Huashang College, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Guangzhou Huashang College, Guangzhou, China","institution_ids":["https://openalex.org/I4210113138","https://openalex.org/I4400573295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090281757"],"corresponding_institution_ids":["https://openalex.org/I4210113138","https://openalex.org/I4400573295"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35294118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"179981","last_page":"179996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.7476000189781189,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.7476000189781189,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.7459999918937683,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14270","display_name":"Simulation and Modeling Applications","score":0.6883000135421753,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7803218364715576},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5533728003501892},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5259133577346802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5183999538421631},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4511808156967163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3616989254951477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803218364715576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5533728003501892},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5259133577346802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5183999538421631},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4511808156967163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3616989254951477},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3503674","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3503674","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f5514e4a50a94df99592dca5d5b4e12e","is_oa":true,"landing_page_url":"https://doaj.org/article/f5514e4a50a94df99592dca5d5b4e12e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 179981-179996 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3503674","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3503674","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W3057126450","https://openalex.org/W3088716539","https://openalex.org/W3112882638","https://openalex.org/W3119042051","https://openalex.org/W3119582151","https://openalex.org/W3134049357","https://openalex.org/W3135204376","https://openalex.org/W3141043752","https://openalex.org/W3144974485","https://openalex.org/W3149118564","https://openalex.org/W3150477525","https://openalex.org/W3164408472","https://openalex.org/W3190294665","https://openalex.org/W3202175197","https://openalex.org/W3202358609","https://openalex.org/W3205021595","https://openalex.org/W3206693419","https://openalex.org/W3216509389","https://openalex.org/W4206370398","https://openalex.org/W4206472181","https://openalex.org/W4206494026","https://openalex.org/W4213078046","https://openalex.org/W4225887252","https://openalex.org/W4280583960","https://openalex.org/W4285522273","https://openalex.org/W4291021196","https://openalex.org/W4307137629","https://openalex.org/W4309347638","https://openalex.org/W4310535610","https://openalex.org/W4320483853","https://openalex.org/W4322183405","https://openalex.org/W4366396441","https://openalex.org/W4385453900","https://openalex.org/W4387677728","https://openalex.org/W6851916956"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"With":[0],"the":[1,4,7,11,19,28,42,45,53,56,65,71,75,81,96,114,118,122,136,141,145,151,156,162,170,176,186,207,224,231,234],"aging":[2],"of":[3,9,22,30,44,55,70,117,144,169,227,233],"population":[5],"and":[6,34,52,67,87,150,175,206,211,229],"shortage":[8],"labor,":[10],"demand":[12],"for":[13,80,223],"service":[14,225],"robots":[15,228],"is":[16,107],"increasing.":[17],"As":[18],"key":[20],"performance":[21,192,213],"visual":[23,97,104,208],"tracking,":[24],"it":[25],"still":[26],"has":[27],"problems":[29],"low":[31],"tracking":[32,61,98,105,209],"accuracy":[33,210],"poor":[35],"real-time":[36,212],"performance.":[37],"Therefore,":[38,100],"this":[39],"paper":[40],"studies":[41],"use":[43,54],"You":[46],"Only":[47],"Look":[48],"Once":[49],"series":[50],"algorithm":[51,62],"regression":[57],"network":[58],"general":[59],"target":[60],"to":[63,94],"improve":[64,95],"detection":[66],"tracker":[68],"part":[69],"track-learning-detection":[72],"algorithm.":[73],"At":[74],"same":[76],"time,":[77],"three":[78],"strategies":[79],"attention":[82],"mechanism,":[83],"multi-level":[84],"feature":[85],"fusion,":[86],"regional":[88],"overlap":[89],"loss":[90],"function":[91],"are":[92,214],"introduced":[93],"model.":[99],"a":[101],"new":[102],"robot":[103,235],"model":[106,120,147,172,198],"constructed.":[108],"The":[109,196],"experimental":[110],"results":[111],"showed":[112],"that":[113],"average":[115,142,177],"score":[116,143],"research":[119,146,171,197],"in":[121,155],"success":[123],"rate":[124,166],"index":[125,139,167],"was":[126,129,148,173,182,193],"0.68,":[127],"which":[128],"significantly":[130,194],"higher":[131],"than":[132],"other":[133,187],"models.":[134],"In":[135,159],"precision":[137],"graph":[138],"score,":[140],"0.79":[149],"curves":[152],"were":[153],"all":[154],"outermost":[157],"circle.":[158],"practical":[160],"application,":[161],"Expected":[163],"Average":[164,179],"Overlap":[165],"value":[168,181],"0.4027":[174],"mean":[178],"Precision":[180],"91.07%.":[183],"Compared":[184],"with":[185],"four":[188],"models,":[189],"its":[190],"comprehensive":[191],"better.":[195,215],"can":[199,217],"maintain":[200],"high":[201],"robustness":[202],"under":[203],"different":[204],"challenges":[205],"It":[216],"provide":[218],"more":[219],"effective":[220],"technical":[221],"support":[222],"field":[226],"promote":[230],"development":[232],"field.":[236]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
