{"id":"https://openalex.org/W3082942064","doi":"https://doi.org/10.3390/s20174974","title":"CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images","display_name":"CNN with Pose Segmentation for Suspicious Object Detection in MMW Security Images","publication_year":2020,"publication_date":"2020-09-02","ids":{"openalex":"https://openalex.org/W3082942064","doi":"https://doi.org/10.3390/s20174974","mag":"3082942064","pmid":"https://pubmed.ncbi.nlm.nih.gov/32887374"},"language":"en","primary_location":{"id":"doi:10.3390/s20174974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174974","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4974/pdf?version=1599043869","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/17/4974/pdf?version=1599043869","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004667401","display_name":"Zhichao Meng","orcid":"https://orcid.org/0000-0002-0295-6298"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Meng","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353083","display_name":"Man Zhang","orcid":"https://orcid.org/0000-0003-1204-9322"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Man Zhang","raw_affiliation_strings":["The School of Physics and Electronic Engineering, Guangzhou University, Guangzhou 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Physics and Electronic Engineering, Guangzhou University, Guangzhou 510006, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013009832","display_name":"Hongxian Wang","orcid":"https://orcid.org/0000-0001-6404-6137"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxian Wang","raw_affiliation_strings":["National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100353083"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.4132,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.81646123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"17","first_page":"4974","last_page":"4974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10752","display_name":"Terahertz technology and applications","score":0.9966999888420105,"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/T10752","display_name":"Terahertz technology and applications","score":0.9966999888420105,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9907000064849854,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8468579649925232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7394949793815613},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7115751504898071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6904414892196655},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6900500059127808},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6900181770324707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5521520376205444},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5457673668861389},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49839162826538086},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.49554502964019775},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46452128887176514},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4235292673110962},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4168863594532013},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.337735116481781},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09340262413024902}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8468579649925232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394949793815613},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7115751504898071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6904414892196655},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6900500059127808},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6900181770324707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5521520376205444},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5457673668861389},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49839162826538086},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.49554502964019775},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46452128887176514},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4235292673110962},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4168863594532013},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.337735116481781},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09340262413024902},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20174974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174974","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4974/pdf?version=1599043869","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32887374","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32887374","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:1ae006fdb88e494dbb06dc1e6751b9d6","is_oa":true,"landing_page_url":"https://doaj.org/article/1ae006fdb88e494dbb06dc1e6751b9d6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 17, p 4974 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/17/4974/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20174974","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 17; Pages: 4974","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7506594","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7506594","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20174974","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20174974","pdf_url":"https://www.mdpi.com/1424-8220/20/17/4974/pdf?version=1599043869","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.550000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3082942064.pdf","grobid_xml":"https://content.openalex.org/works/W3082942064.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W592081968","https://openalex.org/W789883981","https://openalex.org/W1265032268","https://openalex.org/W1553322002","https://openalex.org/W1984527538","https://openalex.org/W1985366728","https://openalex.org/W1988509817","https://openalex.org/W2015326493","https://openalex.org/W2026747937","https://openalex.org/W2029907202","https://openalex.org/W2053190774","https://openalex.org/W2060417025","https://openalex.org/W2075088309","https://openalex.org/W2082113618","https://openalex.org/W2085232221","https://openalex.org/W2102605133","https://openalex.org/W2134127527","https://openalex.org/W2154167190","https://openalex.org/W2155684415","https://openalex.org/W2159194469","https://openalex.org/W2206409264","https://openalex.org/W2213435860","https://openalex.org/W2274775118","https://openalex.org/W2340607872","https://openalex.org/W2349705155","https://openalex.org/W2563457784","https://openalex.org/W2593769399","https://openalex.org/W2598666589","https://openalex.org/W2613275432","https://openalex.org/W2613718673","https://openalex.org/W2619434825","https://openalex.org/W2761343999","https://openalex.org/W2769877289","https://openalex.org/W2793256120","https://openalex.org/W2796983621","https://openalex.org/W2806070179","https://openalex.org/W2883102611","https://openalex.org/W2885450649","https://openalex.org/W2900304773","https://openalex.org/W2902156079","https://openalex.org/W2910678586","https://openalex.org/W2914353073","https://openalex.org/W2917513897","https://openalex.org/W2938407377","https://openalex.org/W2942960215","https://openalex.org/W2964304707","https://openalex.org/W2973088667","https://openalex.org/W2985132266","https://openalex.org/W3004104873","https://openalex.org/W3008978349","https://openalex.org/W3010699739","https://openalex.org/W6622693149","https://openalex.org/W6734344475","https://openalex.org/W6756091241","https://openalex.org/W7070580293"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W1925461966"],"abstract_inverted_index":{"Millimeter-wave":[0],"(MMW)":[1],"imaging":[2],"scanners":[3],"can":[4],"see":[5],"through":[6],"clothing":[7],"to":[8,107,116,140],"form":[9],"a":[10,22,87,141],"three-dimensional":[11],"holographic":[12],"image":[13,122,137],"of":[14,41,64,82,125,146,150,199],"the":[15,62,93,99,109,121,126,130,135,153,158,163,178,188,195,200],"human":[16,94],"body":[17,113,159],"and":[18,47,78,197],"suspicious":[19,66,131,151,167,189],"objects,":[20,152],"providing":[21],"harmless":[23],"alternative":[24],"for":[25],"non-contacting":[26],"searches":[27],"in":[28,34,75,134,187],"security":[29],"check.":[30],"Suspicious":[31],"object":[32,70,132,190],"detection":[33],"MMW":[35,136],"images":[36,161],"is":[37,90,105,138,173],"challenging,":[38],"since":[39],"most":[40],"them":[42],"are":[43],"small,":[44],"reflection-weak,":[45],"shape,":[46],"reflection-diverse.":[48],"Conventional":[49],"detectors":[50],"with":[51,111,177],"artificial":[52],"neural":[53,57],"networks,":[54],"like":[55],"convolution":[56],"network":[58],"(CNN),":[59],"usually":[60],"take":[61],"problem":[63],"finding":[65],"objects":[67],"as":[68],"an":[69],"recognition":[71,133],"task,":[72],"yielding":[73],"difficulties":[74],"developing":[76],"large-amount":[77],"complete":[79],"sample":[80],"sets":[81],"objects.":[83,168],"In":[84],"this":[85],"paper,":[86],"new":[88],"algorithm":[89,104,171],"developed":[91],"using":[92],"pose":[95,127,179],"segmentation":[96,123,180],"followed":[97],"by":[98],"deep":[100],"CNN":[101,154,176],"detection.":[102,191],"The":[103,169],"emphasized":[106],"learn":[108],"similarity":[110],"humans'":[112],"clutter":[114],"applied":[115],"training":[117],"corresponding":[118],"CNNs":[119],"after":[120],"base":[124],"estimation.":[128],"Moreover,":[129],"converted":[139],"binary":[142],"classification":[143],"task.":[144],"Instead":[145],"recognizing":[147],"all":[148],"sorts":[149],"detector":[155],"determines":[156],"whether":[157],"part":[160],"present":[162],"abnormal":[164],"patterns":[165],"containing":[166],"proposed":[170],"that":[172],"based":[174],"on":[175],"has":[181],"concise":[182],"configuration,":[183],"but":[184],"optimal":[185],"performance":[186],"Extensive":[192],"experiments":[193],"confirm":[194],"effectiveness":[196],"superiority":[198],"proposal.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
