{"id":"https://openalex.org/W3009059746","doi":"https://doi.org/10.1109/tgrs.2020.3019915","title":"Multiperson Continuous Tracking and Identification From mm-Wave Micro-Doppler Signatures","display_name":"Multiperson Continuous Tracking and Identification From mm-Wave Micro-Doppler Signatures","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3009059746","doi":"https://doi.org/10.1109/tgrs.2020.3019915","mag":"3009059746"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3019915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3019915","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.03571","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015617312","display_name":"Jacopo Pegoraro","orcid":"https://orcid.org/0000-0003-3555-5666"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Jacopo Pegoraro","raw_affiliation_strings":["University of Padua, Padua, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3555-5666","affiliations":[{"raw_affiliation_string":"University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081831626","display_name":"Francesca Meneghello","orcid":"https://orcid.org/0000-0002-9905-0360"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Meneghello","raw_affiliation_strings":["University of Padua, Padua, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9905-0360","affiliations":[{"raw_affiliation_string":"University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012618073","display_name":"Michele Rossi","orcid":"https://orcid.org/0000-0003-1121-324X"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Rossi","raw_affiliation_strings":["University of Padua, Padua, Italy"],"raw_orcid":"https://orcid.org/0000-0003-1121-324X","affiliations":[{"raw_affiliation_string":"University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":4.7215,"has_fulltext":false,"cited_by_count":117,"citation_normalized_percentile":{"value":0.95997062,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"59","issue":"4","first_page":"2994","last_page":"3009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9983000159263611,"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":0.8150293827056885},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6348278522491455},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6296393871307373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5829184055328369},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5650716423988342},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.5119363069534302},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.4857950210571289},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.46283841133117676},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.4470078647136688},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4430854618549347},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4377962648868561},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4262222349643707},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.420423686504364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3698059320449829},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18276625871658325}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8150293827056885},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6348278522491455},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6296393871307373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5829184055328369},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5650716423988342},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.5119363069534302},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.4857950210571289},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.46283841133117676},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.4470078647136688},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4430854618549347},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4377962648868561},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4262222349643707},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.420423686504364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3698059320449829},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18276625871658325},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tgrs.2020.3019915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3019915","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2003.03571","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.03571","pdf_url":"https://arxiv.org/pdf/2003.03571","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:www.research.unipd.it:11577/3367822","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/9194046","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.03571","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.03571","pdf_url":"https://arxiv.org/pdf/2003.03571","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1167654","https://openalex.org/W1578336695","https://openalex.org/W1673310716","https://openalex.org/W1836465849","https://openalex.org/W1910359679","https://openalex.org/W2048605796","https://openalex.org/W2086093780","https://openalex.org/W2095443612","https://openalex.org/W2097117768","https://openalex.org/W2105934661","https://openalex.org/W2153594606","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2222512263","https://openalex.org/W2475771804","https://openalex.org/W2519091744","https://openalex.org/W2577021971","https://openalex.org/W2588921242","https://openalex.org/W2592680288","https://openalex.org/W2618530766","https://openalex.org/W2789436454","https://openalex.org/W2790336835","https://openalex.org/W2793655483","https://openalex.org/W2798205579","https://openalex.org/W2884033211","https://openalex.org/W2888941708","https://openalex.org/W2917711523","https://openalex.org/W2944320448","https://openalex.org/W2946093721","https://openalex.org/W2949117887","https://openalex.org/W2949860773","https://openalex.org/W2963285578","https://openalex.org/W2968705375","https://openalex.org/W2969128506","https://openalex.org/W2997574889","https://openalex.org/W3104992468","https://openalex.org/W3145793789","https://openalex.org/W4292692470","https://openalex.org/W6600054815","https://openalex.org/W6637131181","https://openalex.org/W6638667902","https://openalex.org/W6672474302","https://openalex.org/W6681096077","https://openalex.org/W6684191040","https://openalex.org/W6685562342","https://openalex.org/W6731853769"],"related_works":["https://openalex.org/W1978025251","https://openalex.org/W2361241744","https://openalex.org/W2086314607","https://openalex.org/W2235285389","https://openalex.org/W4252012301","https://openalex.org/W2900664875","https://openalex.org/W1489621653","https://openalex.org/W2581209175","https://openalex.org/W2022955050","https://openalex.org/W2944876982"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"investigate":[4],"the":[5,13,44,60,65,79,105,133,136,196,212,237],"use":[6],"of":[7,18,20,64,108,135,199,236],"backscattered":[8,68],"mm-wave":[9],"radio":[10],"signals":[11],"for":[12,161],"joint":[14],"tracking":[15,116],"and":[16,40,62,87,117,125,145,167,216],"recognition":[17],"identities":[19],"humans":[21],"as":[22],"they":[23],"move":[24],"within":[25,43],"indoor":[26,46,186],"environments.":[27,187],"We":[28],"build":[29],"a":[30,51,97,156,174,218,228],"system":[31,72,189],"that":[32,90,132,232],"effectively":[33],"works":[34,190],"with":[35,59,173,202,208,217,224],"multiple":[36,179,200],"persons":[37],"concurrently":[38],"sharing":[39,211],"freely":[41],"moving":[42,182],"same":[45,213],"space.":[47],"This":[48],"leads":[49],"to":[50,57,83,103,205],"complicated":[52],"setting,":[53],"which":[54,162],"requires":[55],"one":[56],"deal":[58],"randomness":[61],"complexity":[63],"resulting":[66],"(composite)":[67],"signal.":[69],"The":[70,111,188],"proposed":[71],"combines":[73],"several":[74],"processing":[75,138],"steps:":[76],"at":[77],"first,":[78],"signal":[80],"is":[81,101,140,152],"filtered":[82],"remove":[84],"artifacts,":[85],"reflections,":[86],"random":[88],"noise":[89],"do":[91],"not":[92,234],"originate":[93],"from":[94,227],"humans.":[95],"Hence,":[96],"density-based":[98],"classification":[99],"algorithm":[100],"executed":[102],"separate":[104],"Doppler":[106],"signatures":[107],"different":[109,185],"users.":[110],"final":[112],"blocks":[113],"are":[114],"trajectory":[115],"user":[118],"identification,":[119],"respectively,":[120],"based":[121],"on":[122,155,168,178],"Kalman":[123],"filters":[124],"deep":[126],"neural":[127],"networks.":[128],"Our":[129,150],"results":[130],"demonstrate":[131],"integration":[134],"last-mentioned":[137],"stages":[139],"critical":[141],"toward":[142],"achieving":[143],"robustness":[144],"accuracy":[146,220],"in":[147,183,191],"multiuser":[148],"settings.":[149],"technique":[151],"tested":[153,223],"both":[154],"single-target":[157],"public":[158],"data":[159,226],"set,":[160],"it":[163],"outperforms":[164],"state-of-the-art":[165],"methods,":[166],"our":[169],"own":[170],"measurements,":[171],"obtained":[172],"77":[175],"GHz":[176],"radar":[177],"subjects":[180,201,210],"simultaneously":[181],"two":[184],"an":[192],"online":[193],"fashion,":[194],"permitting":[195],"continuous":[197],"identification":[198],"accuracies":[203],"up":[204],"98%,":[206],"e.g.,":[207],"four":[209],"physical":[214],"space,":[215],"small":[219],"reduction":[221],"when":[222],"unseen":[225],"challenging":[229],"real-life":[230],"scenario":[231],"was":[233],"part":[235],"model":[238],"learning":[239],"phase.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
