{"id":"https://openalex.org/W4226308994","doi":"https://doi.org/10.1109/lgrs.2022.3159590","title":"Indoor Regional People Counting Method Based on Bi-Motion-Model-Framework Using UWB Radar","display_name":"Indoor Regional People Counting Method Based on Bi-Motion-Model-Framework Using UWB Radar","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226308994","doi":"https://doi.org/10.1109/lgrs.2022.3159590"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3159590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3159590","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing 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/A5056241163","display_name":"Zhaocheng Yang","orcid":"https://orcid.org/0000-0002-2410-167X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaocheng Yang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-2410-167X","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078787100","display_name":"Guanghao Qi","orcid":"https://orcid.org/0000-0002-8085-4748"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghao Qi","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001210421","display_name":"Runhan Bao","orcid":"https://orcid.org/0000-0002-2405-0585"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runhan Bao","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-2405-0585","affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":1.9437,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.85833338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9944000244140625,"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":0.9944000244140625,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9833999872207642,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9490000009536743,"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":0.7497050762176514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6525033116340637},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6033378839492798},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6028763055801392},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5680983066558838},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5147871971130371},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.501011848449707},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20081117749214172}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7497050762176514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6525033116340637},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6033378839492798},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6028763055801392},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5680983066558838},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5147871971130371},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.501011848449707},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20081117749214172}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3159590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3159590","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6499999761581421}],"awards":[{"id":"https://openalex.org/G4280049117","display_name":null,"funder_award_id":"2019A1515011517","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8656181960","display_name":"\u591a\u7ef4\u4e92\u8d28\u7ed3\u6784FDA\u96f7\u8fbe\u7a00\u758f\u7a7a\u65f6\u8ddd\u81ea\u9002\u5e94\u5904\u7406\u7814\u7a76","funder_award_id":"61771317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2463631526","https://openalex.org/W2564032898","https://openalex.org/W2623298060","https://openalex.org/W2726539575","https://openalex.org/W2769087576","https://openalex.org/W2795929965","https://openalex.org/W2807894089","https://openalex.org/W2890289853","https://openalex.org/W2956800107","https://openalex.org/W2968705375","https://openalex.org/W3012062242","https://openalex.org/W3093727595","https://openalex.org/W3153895306","https://openalex.org/W3191568623"],"related_works":["https://openalex.org/W2687972263","https://openalex.org/W2029249305","https://openalex.org/W2511137960","https://openalex.org/W3214088465","https://openalex.org/W2115571026","https://openalex.org/W2604231787","https://openalex.org/W2610014769","https://openalex.org/W4321142835","https://openalex.org/W3084370450","https://openalex.org/W2140468889"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3,59,87],"propose":[4],"a":[5],"people":[6,20,55,105],"counting":[7,56],"method":[8,93,99,120],"based":[9],"on":[10],"bi-motion-model-framework":[11],"(BMMF)":[12],"using":[13],"ultra-wide":[14],"bandwidth":[15],"(UWB)":[16],"radar.":[17],"Because":[18],"different":[19,46],"motion":[21,65,82,109,131],"states":[22,83,132],"(people":[23],"standing":[24],"still":[25],"or":[26,94],"moving)":[27],"in":[28],"indoor":[29],"environments":[30],"lead":[31],"to":[32,62,79,100],"significant":[33],"fluctuations":[34],"of":[35,45,53,76,84,104],"the":[36,43,50,54,64,81,89,102,107,113,118,123,130],"received":[37],"radar":[38],"signal,":[39],"it":[40],"will":[41],"confuse":[42],"results":[44,115],"cases":[47],"and":[48,74,125],"degrade":[49],"estimation":[51],"accuracy":[52],"methods.":[57],"Herein,":[58],"first":[60],"attempt":[61],"extract":[63],"features,":[66],"including":[67],"activation":[68],"index":[69],"(AI),":[70],"connected":[71],"regions":[72],"(CRs),":[73],"energy":[75],"frames":[77],"(EoF),":[78],"distinguish":[80],"people.":[85],"Then,":[86],"use":[88],"probabilistic":[90],"model":[91],"(PM)":[92],"convolutional":[95],"neural":[96],"network":[97],"(CNN)":[98],"predict":[101],"number":[103],"for":[106],"classified":[108],"state":[110],"model.":[111],"Finally,":[112],"experimental":[114],"show":[116],"that":[117],"proposed":[119],"significantly":[121],"outperforms":[122],"PM-based":[124],"CNN-based":[126],"methods":[127],"without":[128],"considering":[129],"influences.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
