{"id":"https://openalex.org/W4403277537","doi":"https://doi.org/10.1109/lsp.2024.3477263","title":"Radar-Based Crowd Counting in Real-World Environments With Spatiotemporal Transformer","display_name":"Radar-Based Crowd Counting in Real-World Environments With Spatiotemporal Transformer","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403277537","doi":"https://doi.org/10.1109/lsp.2024.3477263"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3477263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3477263","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5084332486","display_name":"Jae-Ho Choi","orcid":"https://orcid.org/0000-0001-9484-4869"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jae-Ho Choi","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9484-4869","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100713090","display_name":"Kyung\u2010Tae Kim","orcid":"https://orcid.org/0000-0003-1200-5282"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Tae Kim","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1200-5282","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084332486"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.6384,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68531998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"2900","last_page":"2904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.97079998254776,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9613000154495239,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367683410644531},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5466518998146057},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.45695921778678894},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4362941086292267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4004223644733429},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36427342891693115},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36113500595092773},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.169293612241745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367683410644531},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5466518998146057},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.45695921778678894},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4362941086292267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4004223644733429},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36427342891693115},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36113500595092773},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.169293612241745}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3477263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3477263","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2592145690","https://openalex.org/W2726539575","https://openalex.org/W2807894089","https://openalex.org/W2943799979","https://openalex.org/W3093727595","https://openalex.org/W3094502228","https://openalex.org/W3112789874","https://openalex.org/W3172863135","https://openalex.org/W3200379790","https://openalex.org/W4205831148","https://openalex.org/W4210787071","https://openalex.org/W4226308994","https://openalex.org/W4289861074","https://openalex.org/W4385245566","https://openalex.org/W4385659196","https://openalex.org/W4388755106"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2079911747","https://openalex.org/W3116076068","https://openalex.org/W4313855562","https://openalex.org/W2091422131","https://openalex.org/W1546437270","https://openalex.org/W3015050589"],"abstract_inverted_index":{"With":[0],"the":[1,10,52,65,85,109,112,122,133],"advent":[2],"of":[3,12,54,68,87,111],"deep":[4],"learning":[5],"(DL)":[6],"for":[7,14,42],"signal":[8],"processing,":[9],"deployment":[11],"DL":[13],"radar-based":[15,55,135],"crowd":[16,56,97,118,136],"counting":[17,57,98,119,137],"has":[18],"yielded":[19],"significant":[20],"performance":[21],"enhancement.":[22],"Despite":[23],"these":[24],"advancements,":[25],"current":[26],"methodologies":[27],"predominantly":[28],"undergo":[29],"validation":[30],"in":[31,58,73],"controlled":[32],"conditions":[33],"with":[34],"limited":[35],"subject":[36],"movement":[37],"variability,":[38],"posing":[39],"a":[40,89,94,102,116],"challenge":[41],"practical":[43],"usage.":[44],"Addressing":[45],"this":[46,48],"gap,":[47],"letter":[49],"first":[50],"attempts":[51],"application":[53],"an":[59],"unregulated":[60],"and":[61],"dense":[62],"setting,":[63],"capturing":[64],"radar":[66,96],"reflections":[67],"up":[69],"to":[70,83],"31":[71],"subjects":[72],"real-world":[74],"scenarios,":[75,125],"such":[76,88],"as":[77,115,126,128],"queues":[78],"at":[79],"restaurant":[80],"kiosks.":[81],"Furthermore,":[82],"address":[84],"complexities":[86],"challenging":[90],"condition,":[91],"we":[92],"introduce":[93],"novel":[95],"model":[99,114],"that":[100],"utilizes":[101],"spatiotemporal":[103],"transformer.":[104],"The":[105],"expremental":[106],"results":[107],"demonstrate":[108],"potentiality":[110],"proposed":[113],"robust":[117],"system":[120],"under":[121],"full":[123],"realistic":[124],"well":[127],"establish":[129],"its":[130],"superiority":[131],"over":[132],"conventional":[134],"models.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
