{"id":"https://openalex.org/W4315783150","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008732","title":"Multi-Object Recognition Method Inspired by Multimodal Information Processing in the Human Brain","display_name":"Multi-Object Recognition Method Inspired by Multimodal Information Processing in the Human Brain","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315783150","doi":"https://doi.org/10.1109/gcwkshps56602.2022.10008732"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps56602.2022.10008732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps56602.2022.10008732","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","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":"2022 IEEE Globecom Workshops (GC Wkshps)","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/A5111171254","display_name":"Ryoga Seki","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryoga Seki","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054988447","display_name":"Daichi Kominami","orcid":"https://orcid.org/0000-0001-6780-0641"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daichi Kominami","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009082300","display_name":"Hideyuki Shimonishi","orcid":"https://orcid.org/0009-0004-4364-5877"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideyuki Shimonishi","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","NEC Corp"],"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"NEC Corp","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019839911","display_name":"Masayuki Murata","orcid":"https://orcid.org/0000-0002-4168-2875"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Murata","raw_affiliation_strings":["Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","Graduate School of Information Science and Technology, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University,Graduate School of Information Science and Technology,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037257931","display_name":"Masaya Fujiwaka","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaya Fujiwaka","raw_affiliation_strings":["Data Science Research Labs NEC Corporation,Kanagawa,Japan","Data Science Research Labs NEC Corporation, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Data Science Research Labs NEC Corporation,Kanagawa,Japan","institution_ids":["https://openalex.org/I118347220"]},{"raw_affiliation_string":"Data Science Research Labs NEC Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111171254"],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.1061,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.26916325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"569","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.963699996471405,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.7779364585876465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6046463251113892},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5403523445129395},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5306602716445923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45050859451293945},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34358346462249756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33770012855529785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779364585876465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6046463251113892},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5403523445129395},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5306602716445923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45050859451293945},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34358346462249756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33770012855529785}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps56602.2022.10008732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps56602.2022.10008732","pdf_url":null,"source":{"id":"https://openalex.org/S4363605011","display_name":"2022 IEEE Globecom Workshops (GC Wkshps)","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":"2022 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335839","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1513624053","https://openalex.org/W1885767823","https://openalex.org/W2006056627","https://openalex.org/W2026653933","https://openalex.org/W2076587863","https://openalex.org/W2126517582","https://openalex.org/W2161236525","https://openalex.org/W2204747942","https://openalex.org/W2773705490","https://openalex.org/W2799058067","https://openalex.org/W2910597635","https://openalex.org/W2917286209","https://openalex.org/W2934038550","https://openalex.org/W2952793010","https://openalex.org/W3009086519","https://openalex.org/W3013120860","https://openalex.org/W3016886939","https://openalex.org/W3136838775","https://openalex.org/W3187984430","https://openalex.org/W4211154566","https://openalex.org/W4250375351"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W4239098401","https://openalex.org/W2114275278","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W2163728705","https://openalex.org/W949345935","https://openalex.org/W2109550041"],"abstract_inverted_index":{"In":[0,24,110],"order":[1],"to":[2,10,161],"realize":[3],"the":[4,17,27,44,65,106,120,166],"Digital":[5],"Twin,":[6],"it":[7],"is":[8,78],"necessary":[9],"instantly":[11],"understand":[12],"various":[13,21],"objects":[14,145],"existing":[15],"in":[16,43,64,165],"real":[18],"world":[19],"through":[20],"sensor":[22,58],"devices.":[23],"recent":[25],"years,":[26],"development":[28],"of":[29,46,104,119,123,149],"machine":[30],"learning":[31],"technologies":[32],"such":[33],"as":[34],"a":[35,79,101,129],"convolutional":[36],"neural":[37],"network":[38,67],"has":[39],"been":[40],"remarkable,":[41],"and":[42,62,70,90,133,157],"field":[45,132],"video":[47,164],"analysis,":[48],"they":[49],"achieve":[50],"very":[51],"high":[52],"recognition":[53,97,122],"rates.":[54],"However,":[55],"if":[56],"all":[57],"data":[59],"were":[60],"collected":[61],"processed":[63],"cloud,":[66],"transmission":[68],"bandwidth":[69],"communication":[71],"delays":[72],"would":[73],"become":[74],"bottlenecks.":[75],"The":[76,117],"brain":[77,107],"light":[80],"weight":[81],"system":[82],"that":[83,139],"makes":[84],"decisions":[85],"based":[86,99],"on":[87,100],"uncertain":[88],"observations":[89],"We":[91,137],"have":[92],"previously":[93],"proposed":[94],"an":[95,147],"object":[96],"method":[98],"mathematical":[102],"model":[103],"how":[105],"recognizes":[108],"information.":[109],"this":[111,115],"paper,":[112],"we":[113],"extend":[114],"method.":[116],"features":[118],"brain\u2019s":[121],"spatial":[124],"context":[125],"are":[126],"modeled":[127],"by":[128],"conditional":[130],"random":[131],"incorporated":[134],"into":[135],"it.":[136],"show":[138],"our":[140],"proposal":[141],"can":[142,158],"recognize":[143],"multiple":[144],"with":[146],"accuracy":[148],"more":[150],"than":[151],"83.2%":[152],"even":[153],"from":[154],"noisy":[155],"information,":[156],"be":[159],"applied":[160],"60":[162],"fps":[163],"evaluation":[167],"environment.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
