{"id":"https://openalex.org/W4392981403","doi":"https://doi.org/10.1109/icaiic60209.2024.10463395","title":"Auto Annotation using Object Tracking with Multiple in-vehicle Cameras for Federated Learning","display_name":"Auto Annotation using Object Tracking with Multiple in-vehicle Cameras for Federated Learning","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392981403","doi":"https://doi.org/10.1109/icaiic60209.2024.10463395"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463395","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic60209.2024.10463395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102632812","display_name":"Yuuki Nakahama","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuuki Nakahama","raw_affiliation_strings":["Graduate School of Informatics and Engineering, The University of Electro-Communications,Tokyo,Japan","Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications,Tokyo,Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017464205","display_name":"Satoshi Ohzahata","orcid":"https://orcid.org/0000-0003-0609-4725"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Ohzahata","raw_affiliation_strings":["Graduate School of Informatics and Engineering, The University of Electro-Communications,Tokyo,Japan","Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications,Tokyo,Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044221005","display_name":"Ryo Yamamoto","orcid":"https://orcid.org/0000-0001-5504-6004"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Yamamoto","raw_affiliation_strings":["Graduate School of Informatics and Engineering, The University of Electro-Communications,Tokyo,Japan","Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications,Tokyo,Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"041","last_page":"046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.97079998254776,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.97079998254776,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9093000292778015,"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":0.833840548992157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6507770419120789},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6396989226341248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6363173723220825},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.592219889163971},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5840691328048706},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5814694762229919},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4221137762069702},{"id":"https://openalex.org/keywords/vehicle-tracking-system","display_name":"Vehicle tracking system","score":0.42207491397857666},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1867487132549286},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.07901650667190552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.833840548992157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6507770419120789},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6396989226341248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6363173723220825},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.592219889163971},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5840691328048706},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5814694762229919},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4221137762069702},{"id":"https://openalex.org/C84119951","wikidata":"https://www.wikidata.org/wiki/Q3498530","display_name":"Vehicle tracking system","level":3,"score":0.42207491397857666},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1867487132549286},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.07901650667190552},{"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":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463395","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic60209.2024.10463395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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":11,"referenced_works":["https://openalex.org/W2890356250","https://openalex.org/W2913366114","https://openalex.org/W2953303875","https://openalex.org/W2963037989","https://openalex.org/W3035461736","https://openalex.org/W3040320765","https://openalex.org/W3100817193","https://openalex.org/W4290775139","https://openalex.org/W4295719664","https://openalex.org/W4327767798","https://openalex.org/W6728757088"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W2965594636"],"abstract_inverted_index":{"In":[0,37],"recent":[1],"years,":[2],"significant":[3],"advancements":[4],"have":[5],"been":[6],"made":[7],"in":[8,25],"automated":[9,15],"driving":[10],"technology.":[11],"To":[12,108],"achieve":[13],"fully":[14],"driving,":[16],"a":[17,48,69],"vehicle":[18,44],"must":[19],"accurately":[20],"acquire":[21],"information":[22],"regarding":[23],"objects":[24,94,143,147,166],"its":[26],"surroundings":[27],"by":[28,76,148],"gathering":[29],"large":[30],"amounts":[31],"of":[32,55,102,117,137,141],"data":[33,40,82,151,169],"for":[34,92,130],"machine":[35],"learning.":[36],"many":[38],"cases,":[39],"collected":[41],"from":[42,152],"each":[43],"is":[45,52,68,98,106],"transmitted":[46],"to":[47,61,125,144,170],"central":[49,172],"server,":[50],"which":[51],"undesirable":[53],"because":[54],"privacy":[56],"concerns":[57,75],"and":[58],"traffic":[59],"generation":[60],"retrieve":[62],"the":[63,81,84,88,103,115,127,135,138,160,171],"data.":[64],"Federated":[65],"Learning":[66],"(FL)":[67],"promising":[70],"technology":[71],"that":[72,159],"addresses":[73],"these":[74],"enabling":[77],"learning":[78],"while":[79],"maintaining":[80],"with":[83,95,122],"user.":[85],"However,":[86],"since":[87],"local":[89],"labeling":[90,128,139],"accuracy":[91,129],"distant":[93,146,165],"existing":[96],"models":[97],"still":[99],"low,":[100],"quality":[101],"model":[104],"training":[105],"affected.":[107],"address":[109],"this":[110,112],"issue,":[111],"paper":[113],"proposes":[114],"use":[116],"Multiple":[118],"object":[119],"Tracking":[120],"(MoT)":[121],"multiple":[123,153],"cameras":[124],"improve":[126],"FL.":[131],"Our":[132],"method":[133,162],"enables":[134],"application":[136],"results":[140,157],"nearby":[142],"identify":[145],"tracking":[149],"time-series":[150],"cameras.":[154],"The":[155],"evaluation":[156],"demonstrate":[158],"proposed":[161],"effectively":[163],"labels":[164],"without":[167],"sending":[168],"server.":[173]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}