{"id":"https://openalex.org/W4206586130","doi":"https://doi.org/10.1109/smc52423.2021.9659237","title":"End-to-End Person Re-identification including Camera Zooming based on Meta-Analysis for Images","display_name":"End-to-End Person Re-identification including Camera Zooming based on Meta-Analysis for Images","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W4206586130","doi":"https://doi.org/10.1109/smc52423.2021.9659237"},"language":"en","primary_location":{"id":"doi:10.1109/smc52423.2021.9659237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9659237","pdf_url":null,"source":{"id":"https://openalex.org/S4363607761","display_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5022669249","display_name":"Hirofumi Noguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirofumi Noguchi","raw_affiliation_strings":["NTT Network Innovation Center, Nippon Telegraph and Telephone Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Network Innovation Center, Nippon Telegraph and Telephone Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021739090","display_name":"Takuma Isoda","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuma Isoda","raw_affiliation_strings":["R&D Innovation Division, NTT DOCOMO, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D Innovation Division, NTT DOCOMO, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072098251","display_name":"Seisuke Arai","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seisuke Arai","raw_affiliation_strings":["NTT Network Innovation Center, Nippon Telegraph and Telephone Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Network Innovation Center, Nippon Telegraph and Telephone Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18266476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3285","last_page":"3290"},"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/T11448","display_name":"Face recognition and analysis","score":0.9988999962806702,"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":0.9972000122070312,"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/zoom","display_name":"Zoom","score":0.7884933352470398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7726699113845825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7522554397583008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7089433670043945},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6452652812004089},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5325025320053101},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4935239553451538},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.35108333826065063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3439900875091553},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08259075880050659}],"concepts":[{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.7884933352470398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726699113845825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7522554397583008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7089433670043945},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6452652812004089},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5325025320053101},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4935239553451538},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35108333826065063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3439900875091553},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08259075880050659},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc52423.2021.9659237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9659237","pdf_url":null,"source":{"id":"https://openalex.org/S4363607761","display_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1571434535","https://openalex.org/W1892323599","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W1985820353","https://openalex.org/W2021836510","https://openalex.org/W2085161844","https://openalex.org/W2135442311","https://openalex.org/W2147768979","https://openalex.org/W2157598322","https://openalex.org/W2174703261","https://openalex.org/W2235916736","https://openalex.org/W2336678190","https://openalex.org/W2339827301","https://openalex.org/W2341528187","https://openalex.org/W2403013424","https://openalex.org/W2531440880","https://openalex.org/W2549001007","https://openalex.org/W2574529004","https://openalex.org/W2768106074","https://openalex.org/W2899254051","https://openalex.org/W2910603373","https://openalex.org/W2913039105","https://openalex.org/W2944576261","https://openalex.org/W2963901085","https://openalex.org/W3101998545","https://openalex.org/W6703133677","https://openalex.org/W6704003556","https://openalex.org/W6728374919","https://openalex.org/W6759339096"],"related_works":["https://openalex.org/W2788595494","https://openalex.org/W2244676099","https://openalex.org/W3172556642","https://openalex.org/W3157456843","https://openalex.org/W1990150827","https://openalex.org/W2036676347","https://openalex.org/W1589307369","https://openalex.org/W3165790285","https://openalex.org/W2384651879","https://openalex.org/W2985118265"],"abstract_inverted_index":{"This":[0,122],"paper":[1,123],"proposes":[2,124],"an":[3],"end-to-end":[4],"person":[5,28,43,135,174],"re-identification":[6,46,79,187,219],"method":[7,126,158,170,213],"including":[8],"pan-tilt-zoom":[9],"camera":[10,102],"control":[11],"in":[12,47,69,139],"a":[13,89,125,206],"real-world":[14],"environment":[15],"containing":[16],"many":[17,38,137,143],"moving":[18],"people.":[19,121],"Person":[20],"re-identification,":[21],"which":[22],"means":[23],"consistently":[24],"identifying":[25],"the":[26,48,75,81,84,105,108,117,133,140,156,160,172,184,189,192,196,211,215],"same":[27],"from":[29,31,136],"images":[30,77,95,181],"multiple":[32],"cameras,":[33],"brings":[34],"great":[35],"benefits":[36],"to":[37,92,178],"services":[39],"such":[40,53],"as":[41,54],"real-time":[42],"search.":[44],"However,":[45],"real":[49],"world":[50],"has":[51],"challenges":[52,68],"uniqueness":[55],"of":[56,63,88,110,112,119,163,186,191,201,218],"appearance,":[57],"image":[58,167],"quality,":[59],"lighting,":[60],"and":[61,166,195,199],"poses":[62],"person.":[64,90],"We":[65],"address":[66],"these":[67],"two":[70],"ways.":[71],"First,":[72],"we":[73],"use":[74],"face":[76,82],"for":[78,96,182],"because":[80],"is":[83,176],"most":[85],"unique":[86],"feature":[87],"Second,":[91],"acquire":[93],"high-resolution":[94],"facial":[97,164],"recognition,":[98],"our":[99],"approach":[100],"utilizes":[101],"zooming.":[103],"On":[104],"other":[106],"hand,":[107],"reduction":[109],"field":[111],"view":[113],"by":[114,131,151,220],"zooming":[115],"decreases":[116],"number":[118],"probed":[120,134,173],"that":[127,210],"resolves":[128],"this":[129],"trade-off":[130],"selecting":[132],"people":[138],"environment.":[141],"Although":[142],"prior":[144],"works":[145],"have":[146],"focused":[147],"on":[148,188],"data":[149,153],"analysis":[150],"assuming":[152],"are":[154],"pre-given,":[155],"proposed":[157,212],"solves":[159],"joint":[161],"problem":[162],"recognition":[165,193],"acquisition.":[168],"The":[169],"selects":[171],"who":[175],"likely":[177],"generate":[179],"effective":[180],"improving":[183],"accuracy":[185],"basis":[190],"results":[194],"resolution,":[197],"quantity,":[198],"variation":[200],"collected":[202],"images.":[203],"Experiments":[204],"using":[205],"video":[207],"dataset":[208],"showed":[209],"increased":[214],"success":[216],"rate":[217],"25%":[221],"compared":[222],"with":[223],"random":[224],"selection.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}