{"id":"https://openalex.org/W3159497806","doi":"https://doi.org/10.1109/tgrs.2021.3073664","title":"Person Reidentification Based on Automotive Radar Point Clouds","display_name":"Person Reidentification Based on Automotive Radar Point Clouds","publication_year":2021,"publication_date":"2021-05-03","ids":{"openalex":"https://openalex.org/W3159497806","doi":"https://doi.org/10.1109/tgrs.2021.3073664","mag":"3159497806"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3073664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3073664","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":["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/A5074480992","display_name":"Yuwei Cheng","orcid":"https://orcid.org/0000-0002-6819-2075"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Cheng","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6819-2075","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728989","display_name":"Yimin Liu","orcid":"https://orcid.org/0000-0002-8947-1268"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8947-1268","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":51.635,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.99745456,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9979000091552734,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9962999820709229,"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/robustness","display_name":"Robustness (evolution)","score":0.8095363974571228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7929635047912598},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6505101919174194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6265788078308105},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5657652616500854},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5046850442886353},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4962459206581116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48004114627838135},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4388570785522461},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43814393877983093},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41779401898384094},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4106951355934143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3674285411834717},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2108348309993744},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10897111892700195},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09315618872642517}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8095363974571228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929635047912598},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6505101919174194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6265788078308105},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5657652616500854},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5046850442886353},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4962459206581116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48004114627838135},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4388570785522461},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43814393877983093},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41779401898384094},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4106951355934143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3674285411834717},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2108348309993744},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10897111892700195},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09315618872642517},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3073664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3073664","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1009458120","https://openalex.org/W1578336695","https://openalex.org/W1979260620","https://openalex.org/W1984186893","https://openalex.org/W2060300932","https://openalex.org/W2109907460","https://openalex.org/W2113638573","https://openalex.org/W2131774270","https://openalex.org/W2140019524","https://openalex.org/W2204750386","https://openalex.org/W2417469898","https://openalex.org/W2560609797","https://openalex.org/W2592680288","https://openalex.org/W2724213014","https://openalex.org/W2735334413","https://openalex.org/W2752782242","https://openalex.org/W2790336835","https://openalex.org/W2798205579","https://openalex.org/W2808541648","https://openalex.org/W2912406707","https://openalex.org/W2940664476","https://openalex.org/W2944320448","https://openalex.org/W2949860773","https://openalex.org/W2953823434","https://openalex.org/W2963281829","https://openalex.org/W2963289251","https://openalex.org/W2964260849","https://openalex.org/W2967515867","https://openalex.org/W2973595938","https://openalex.org/W2983100386","https://openalex.org/W2993713019","https://openalex.org/W2997616834","https://openalex.org/W3000681136","https://openalex.org/W3009401626","https://openalex.org/W3012015905","https://openalex.org/W3034150081","https://openalex.org/W3035151021","https://openalex.org/W3035216422","https://openalex.org/W3040360205","https://openalex.org/W3046956326","https://openalex.org/W3084018293","https://openalex.org/W3100927979","https://openalex.org/W6631190155","https://openalex.org/W6637131181","https://openalex.org/W6735531217","https://openalex.org/W6739778489","https://openalex.org/W6751647483","https://openalex.org/W6753266022","https://openalex.org/W6760658723","https://openalex.org/W6769691525","https://openalex.org/W6771967508","https://openalex.org/W6774437872"],"related_works":["https://openalex.org/W4382644535","https://openalex.org/W2522768275","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W2373392303","https://openalex.org/W2765894405","https://openalex.org/W1884735063","https://openalex.org/W2372668238","https://openalex.org/W4226126548","https://openalex.org/W2560421750"],"abstract_inverted_index":{"Person":[0],"reidentification":[1],"(ReID)":[2],"systems":[3,12,25],"play":[4],"a":[5,28,74,91],"key":[6],"role":[7],"in":[8,19,203,208],"intelligent":[9],"visual":[10],"surveillance":[11],"and":[13,67,133,137,154,166,175],"have":[14],"widespread":[15],"applications,":[16],"for":[17,47,121,135,150],"example,":[18],"public":[20],"security.":[21],"Usually,":[22],"person":[23,29,49,55,57,102,123,151],"ReID":[24,50,58,103,118,152,193,202],"can":[26],"identify":[27],"with":[30,212],"cameras.":[31],"In":[32,141],"this":[33],"article,":[34],"we":[35,72,143,162],"focus":[36],"on":[37,116,172],"the":[38,48,53,64,68,100,117,122,145,157,164,167,173,176,182],"relatively":[39],"unexplored":[40],"area":[41],"of":[42,94,131,147,169,178,187],"using":[43,148],"low-cost":[44],"automotive":[45],"radar":[46,85,95,149],"problem.":[51],"Unlike":[52],"radar-based":[54,192],"identification,":[56],"has":[59],"some":[60,204],"characteristics,":[61],"such":[62,206],"as":[63,207],"uncooperative":[65],"scenes":[66],"long-term":[69],"robustness.":[70],"Therefore,":[71],"design":[73],"new":[75,158],"deep":[76],"learning":[77],"network":[78,183],"to":[79,181],"extract":[80],"spatiotemporal":[81],"information":[82],"from":[83,99],"4-D":[84],"point":[86,96],"clouds.":[87],"We":[88],"also":[89,128,199],"build":[90],"data":[92],"set":[93],"clouds":[97],"collected":[98],"real-world":[101],"scenarios.":[104],"The":[105,185],"evaluation":[106],"result":[107],"shows":[108],"that":[109,191],"our":[110,126,188],"method":[111,127,174],"achieves":[112,129],"91%":[113,134],"CMC-1":[114],"accuracy":[115],"task.":[119],"Besides,":[120],"identification":[124],"task,":[125],"accuracies":[130],"98%":[132],"15":[136],"40":[138],"individuals,":[139],"respectively.":[140],"addition,":[142],"discuss":[144],"potential":[146],"problems":[153],"intuitively":[155],"explain":[156],"method\u2019s":[159],"performance.":[160],"Finally,":[161],"analyze":[163],"robustness":[165],"influence":[168],"different":[170,179],"parameters":[171],"contributions":[177],"modules":[180],"model.":[184],"results":[186],"experiment":[189],"indicate":[190],"not":[194],"only":[195],"preserves":[196],"privacy":[197],"but":[198],"outperforms":[200],"camera-based":[201],"cases,":[205],"low-light":[209],"environments":[210],"or":[211],"substantial":[213],"clothing":[214],"changes.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}