{"id":"https://openalex.org/W4214827433","doi":"https://doi.org/10.1109/ieeeconf53345.2021.9723231","title":"Privacy-preserving People Identification and Tracking without Use of Facial Recognition","display_name":"Privacy-preserving People Identification and Tracking without Use of Facial Recognition","publication_year":2021,"publication_date":"2021-10-31","ids":{"openalex":"https://openalex.org/W4214827433","doi":"https://doi.org/10.1109/ieeeconf53345.2021.9723231"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf53345.2021.9723231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf53345.2021.9723231","pdf_url":null,"source":{"id":"https://openalex.org/S4363607877","display_name":"2021 55th Asilomar Conference on Signals, Systems, and Computers","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 55th Asilomar Conference on Signals, Systems, and Computers","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/A5043141175","display_name":"Daisuke Maeda","orcid":"https://orcid.org/0000-0003-4911-401X"},"institutions":[{"id":"https://openalex.org/I86725329","display_name":"Hitachi Global Storage Technologies (United States)","ror":"https://ror.org/02q0s1x22","country_code":"US","type":"company","lineage":["https://openalex.org/I86725329"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daisuke Maeda","raw_affiliation_strings":["Hitachi America, Ltd.,IoT Edge Laboratory,Santa Clara,USA","IoT Edge Laboratory, Hitachi America, Ltd., Santa Clara, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitachi America, Ltd.,IoT Edge Laboratory,Santa Clara,USA","institution_ids":["https://openalex.org/I86725329"]},{"raw_affiliation_string":"IoT Edge Laboratory, Hitachi America, Ltd., Santa Clara, USA","institution_ids":["https://openalex.org/I86725329"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039347881","display_name":"Sudhanshu Gaur","orcid":null},"institutions":[{"id":"https://openalex.org/I86725329","display_name":"Hitachi Global Storage Technologies (United States)","ror":"https://ror.org/02q0s1x22","country_code":"US","type":"company","lineage":["https://openalex.org/I86725329"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudhanshu Gaur","raw_affiliation_strings":["Hitachi America, Ltd.,IoT Edge Laboratory,Santa Clara,USA","IoT Edge Laboratory, Hitachi America, Ltd., Santa Clara, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hitachi America, Ltd.,IoT Edge Laboratory,Santa Clara,USA","institution_ids":["https://openalex.org/I86725329"]},{"raw_affiliation_string":"IoT Edge Laboratory, Hitachi America, Ltd., Santa Clara, USA","institution_ids":["https://openalex.org/I86725329"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86725329"],"apc_list":null,"apc_paid":null,"fwci":0.191,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55691472,"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":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":0.9993000030517578,"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":0.9993000030517578,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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/identification","display_name":"Identification (biology)","score":0.742485523223877},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5686852931976318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5564532279968262},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5121316909790039},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5112054347991943},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4549834132194519},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.44530290365219116},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.4346192479133606},{"id":"https://openalex.org/keywords/iris-recognition","display_name":"Iris recognition","score":0.4191479980945587},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3987482190132141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35644251108169556},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21569418907165527},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.19965416193008423}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.742485523223877},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5686852931976318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5564532279968262},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5121316909790039},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5112054347991943},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4549834132194519},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.44530290365219116},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.4346192479133606},{"id":"https://openalex.org/C112356035","wikidata":"https://www.wikidata.org/wiki/Q1672722","display_name":"Iris recognition","level":3,"score":0.4191479980945587},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3987482190132141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35644251108169556},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21569418907165527},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.19965416193008423},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf53345.2021.9723231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf53345.2021.9723231","pdf_url":null,"source":{"id":"https://openalex.org/S4363607877","display_name":"2021 55th Asilomar Conference on Signals, Systems, and Computers","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 55th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2072273451","https://openalex.org/W2087797502","https://openalex.org/W2496185699","https://openalex.org/W2603203130","https://openalex.org/W2772808186","https://openalex.org/W2889049333","https://openalex.org/W2912737397","https://openalex.org/W2963037989","https://openalex.org/W2998792609","https://openalex.org/W2999630082","https://openalex.org/W3080824426","https://openalex.org/W3125736290"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2018223046","https://openalex.org/W2294693339","https://openalex.org/W2774310452","https://openalex.org/W1971649232","https://openalex.org/W2573408845","https://openalex.org/W231692020","https://openalex.org/W2024700913","https://openalex.org/W3092387234","https://openalex.org/W2891686872"],"abstract_inverted_index":{"Nowadays,":[0],"facial":[1,71,93],"recognition":[2,72,94],"technology":[3,73,84],"is":[4],"widely":[5],"being":[6,28,98],"used":[7],"for":[8,115,118,150,189],"people":[9,116,143,153,190],"identification":[10,117,154,191],"and":[11,16,36,44,77,141,145,169,184],"tracking":[12],"in":[13,33,100,120,127,173,182],"both":[14],"consumer":[15],"industrial":[17],"applications.":[18],"Because":[19],"of":[20,23,53,70,136],"near-perfect":[21],"accuracy":[22],"such":[24,123],"systems,":[25],"these":[26],"are":[27,41],"actively":[29],"deployed":[30],"worldwide":[31],"especially":[32],"public":[34],"safety":[35],"retail":[37],"industries.":[38],"However,":[39],"there":[40],"serious":[42],"privacy":[43],"civil":[45],"rights":[46],"concerns":[47],"due":[48],"to":[49,90,139],"the":[50,55,75,176],"inherent":[51],"nature":[52],"analyzing":[54],"human":[56],"face.":[57],"As":[58],"a":[59,128,137,146,196],"result,":[60],"several":[61,82],"major":[62,83],"cities":[63],"(e.g.":[64],"San":[65],"Francisco)":[66],"have":[67,86],"banned":[68],"use":[69,119],"by":[74,192],"police":[76],"other":[78],"agencies.":[79],"In":[80,107],"addition,":[81],"companies":[85],"also":[87],"announced":[88],"plans":[89],"either":[91],"quit":[92],"business":[95],"altogether":[96],"or":[97,130,160],"selective":[99],"who":[101,187],"they":[102],"supply":[103],"this":[104,108,166],"product":[105],"to.":[106],"paper,":[109],"we":[110],"propose":[111],"an":[112,151],"alternative":[113],"approach":[114],"commercial":[121],"premises":[122],"as":[124],"productivity":[125],"measurement":[126],"factory":[129],"retail.":[131],"Our":[132],"proposed":[133,177],"system":[134,178],"consists":[135],"camera":[138],"locate":[140],"track":[142],"anonymously":[144],"wireless":[147,197],"beacon":[148,198],"transmitter":[149],"opt-in-based":[152],"that":[155],"does":[156],"not":[157],"require":[158],"facial/gait":[159],"appearance":[161],"attributes.":[162],"By":[163],"intelligently":[164],"fusing":[165],"multimodal":[167],"data":[168],"leveraging":[170],"recent":[171],"advances":[172],"deep":[174],"learning,":[175],"locates":[179],"every":[180],"person":[181],"frame":[183],"identifies":[185],"those":[186],"opted-in":[188],"equipping":[193],"them":[194],"with":[195],"transmitter.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
