{"id":"https://openalex.org/W3085316187","doi":"https://doi.org/10.3390/s20185229","title":"Face and Body-Based Human Recognition by GAN-Based Blur Restoration","display_name":"Face and Body-Based Human Recognition by GAN-Based Blur Restoration","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3085316187","doi":"https://doi.org/10.3390/s20185229","mag":"3085316187","pmid":"https://pubmed.ncbi.nlm.nih.gov/32937774"},"language":"en","primary_location":{"id":"doi:10.3390/s20185229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185229","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5229/pdf?version=1600078501","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/1424-8220/20/18/5229/pdf?version=1600078501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002524886","display_name":"Ja Hyung Koo","orcid":"https://orcid.org/0000-0001-5904-3652"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ja Hyung Koo","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":"https://orcid.org/0000-0001-5904-3652","affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047416676","display_name":"Se Woon Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Se Woon Cho","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009722135","display_name":"Na Rae Baek","orcid":"https://orcid.org/0000-0001-6859-9855"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Na Rae Baek","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083173630","display_name":"Kang Ryoung Park","orcid":"https://orcid.org/0000-0002-1214-9510"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kang Ryoung Park","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 04620, Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083173630"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3923,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62279118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"20","issue":"18","first_page":"5229","last_page":"5229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9948999881744385,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8173143267631531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7495713829994202},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7024961709976196},{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.7018601894378662},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6590126752853394},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6536359786987305},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.6203575134277344},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5526974201202393},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.496310293674469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46727311611175537},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4654593765735626},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3581447899341583},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3055683970451355},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.295160710811615},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27533310651779175},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1865536868572235}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8173143267631531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495713829994202},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7024961709976196},{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.7018601894378662},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6590126752853394},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6536359786987305},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.6203575134277344},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5526974201202393},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.496310293674469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46727311611175537},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4654593765735626},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3581447899341583},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3055683970451355},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.295160710811615},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27533310651779175},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1865536868572235},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000086762","descriptor_name":"Automated Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086762","descriptor_name":"Automated Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086762","descriptor_name":"Automated Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20185229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185229","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5229/pdf?version=1600078501","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:32937774","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32937774","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:e838942d7bad49cab097c6f529e4dd0e","is_oa":true,"landing_page_url":"https://doaj.org/article/e838942d7bad49cab097c6f529e4dd0e","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 18, p 5229 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/18/5229/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20185229","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 18; Pages: 5229","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7571210","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7571210","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/s20185229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20185229","pdf_url":"https://www.mdpi.com/1424-8220/20/18/5229/pdf?version=1600078501","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":"Sustainable cities and communities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G269389471","display_name":null,"funder_award_id":"IITP-2020-2020-0-01789","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G282363701","display_name":null,"funder_award_id":"2020-2020-0-01789","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G308274536","display_name":null,"funder_award_id":"IITP-2020-2020-0-01789","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G3458716721","display_name":null,"funder_award_id":"NRF-2016M3A9E1915855","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3515857073","display_name":null,"funder_award_id":"NRF-2018R1D1A1B07041921","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4521904060","display_name":null,"funder_award_id":"IITP-2020-2020-0-01789","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6837306824","display_name":null,"funder_award_id":"NRF-2017R1D1A1B03028417","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6847176799","display_name":null,"funder_award_id":"2018R1D1A1B07041921","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8817349273","display_name":null,"funder_award_id":"2016M3A9E1915855","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3085316187.pdf","grobid_xml":"https://content.openalex.org/works/W3085316187.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1949591461","https://openalex.org/W1986708280","https://openalex.org/W1988862246","https://openalex.org/W2019464758","https://openalex.org/W2047632871","https://openalex.org/W2055492845","https://openalex.org/W2063179889","https://openalex.org/W2068042582","https://openalex.org/W2111178549","https://openalex.org/W2130808970","https://openalex.org/W2132716725","https://openalex.org/W2133665775","https://openalex.org/W2170437366","https://openalex.org/W2325939864","https://openalex.org/W2502225121","https://openalex.org/W2519373641","https://openalex.org/W2565772627","https://openalex.org/W2596603442","https://openalex.org/W2742342963","https://openalex.org/W2766580650","https://openalex.org/W2807033398","https://openalex.org/W2890686698","https://openalex.org/W2900389922","https://openalex.org/W2920778950","https://openalex.org/W2945634346","https://openalex.org/W2962793481","https://openalex.org/W2962858109","https://openalex.org/W2963073614","https://openalex.org/W2963312584","https://openalex.org/W2965624713","https://openalex.org/W2968629419","https://openalex.org/W2969530491","https://openalex.org/W3022900894","https://openalex.org/W3032455688","https://openalex.org/W3102409349","https://openalex.org/W3102662667","https://openalex.org/W6687483927","https://openalex.org/W6731672963","https://openalex.org/W6735913928"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4229459996","https://openalex.org/W2232201529","https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W4391468564","https://openalex.org/W4297097661"],"abstract_inverted_index":{"The":[0,152,178,196],"long-distance":[1],"recognition":[2,15,110,185],"methods":[3],"in":[4,43,67,72,175,186],"indoor":[5,68],"environments":[6,69],"are":[7,22,54,145],"commonly":[8],"divided":[9],"into":[10],"two":[11],"categories,":[12],"namely":[13],"face":[14,17,28,47,76,90,120,134,158],"and":[16,18,48,62,119,130,135,159,165,188,193],"body":[19,49,102,118,136,160],"recognition.":[20,29],"Cameras":[21],"typically":[23],"installed":[24],"on":[25,99],"ceilings":[26],"for":[27],"Hence,":[30],"it":[31],"is":[32,65,78,94,112,122,169],"difficult":[33],"to":[34,81,147],"obtain":[35],"a":[36,95,109,125,139],"front":[37],"image":[38],"of":[39,51,89,97,101,117,133,183],"an":[40,52,63,170],"individual.":[41],"Therefore,":[42,75],"many":[44],"studies,":[45],"the":[46,57,60,106,115,131,149,203],"information":[50,77],"individual":[53,64],"combined.":[55],"However,":[56,92],"distance":[58],"between":[59],"camera":[61],"closer":[66],"than":[70,202],"that":[71],"outdoor":[73],"environments.":[74],"distorted":[79],"due":[80],"motion":[82],"blur.":[83],"Several":[84],"studies":[85,98],"have":[86],"examined":[87],"deblurring":[88,100],"images.":[91,103],"there":[93],"paucity":[96],"To":[104],"tackle":[105],"blur":[107,116],"problem,":[108],"method":[111,198],"proposed":[113,197],"wherein":[114],"images":[121],"restored":[123],"using":[124,138],"generative":[126],"adversarial":[127],"network":[128,143],"(GAN),":[129],"features":[132],"obtained":[137],"deep":[140],"convolutional":[141],"neural":[142],"(CNN)":[144],"used":[146,174],"fuse":[148],"matching":[150],"score.":[151],"database":[153],"developed":[154],"by":[155],"us,":[156],"Dongguk":[157],"dataset":[161,190],"version":[162],"2":[163],"(DFB-DB2)":[164],"ChokePoint":[166,189],"dataset,":[167,172],"which":[168],"open":[171],"were":[173],"this":[176],"study.":[177],"equal":[179],"error":[180],"rate":[181],"(EER)":[182],"human":[184],"DFB-DB2":[187],"was":[191],"7.694%":[192],"5.069%,":[194],"respectively.":[195],"exhibited":[199],"better":[200],"results":[201],"state-of-art":[204],"methods.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
