{"id":"https://openalex.org/W3198621755","doi":"https://doi.org/10.1109/tsp52935.2021.9522677","title":"Detecting Faces With Face Masks","display_name":"Detecting Faces With Face Masks","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3198621755","doi":"https://doi.org/10.1109/tsp52935.2021.9522677","mag":"3198621755"},"language":"en","primary_location":{"id":"doi:10.1109/tsp52935.2021.9522677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp52935.2021.9522677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-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/A5065090445","display_name":"Ji\u0159\u00ed P\u0159inosil","orcid":"https://orcid.org/0000-0003-3299-6204"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jiri Prinosil","raw_affiliation_strings":["FEEC Brno University of Technology,Department of Telecommunications,Brno,Czech Republic"],"affiliations":[{"raw_affiliation_string":"FEEC Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022128848","display_name":"Ond\u0159ej Mal\u00fd","orcid":"https://orcid.org/0000-0002-1287-0519"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ondrej Maly","raw_affiliation_strings":["FEEC Brno University of Technology,Department of Telecommunications,Brno,Czech Republic"],"affiliations":[{"raw_affiliation_string":"FEEC Brno University of Technology,Department of Telecommunications,Brno,Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065090445"],"corresponding_institution_ids":["https://openalex.org/I60587646"],"apc_list":null,"apc_paid":null,"fwci":0.9607,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77563725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"14","issue":null,"first_page":"259","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976000189781189,"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/T10057","display_name":"Face and Expression Recognition","score":0.9962000250816345,"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":0.8055084943771362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8029016852378845},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7689121961593628},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6638151407241821},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6361003518104553},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.631811261177063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5687963962554932},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5679426789283752},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5323240160942078},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5237407684326172},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4976666271686554},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4760027825832367},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4272226095199585},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23907184600830078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14131927490234375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10020211338996887}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8055084943771362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029016852378845},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7689121961593628},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6638151407241821},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6361003518104553},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.631811261177063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5687963962554932},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5679426789283752},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5323240160942078},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5237407684326172},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4976666271686554},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4760027825832367},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4272226095199585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23907184600830078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14131927490234375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10020211338996887},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp52935.2021.9522677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp52935.2021.9522677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1813599753","https://openalex.org/W1825459403","https://openalex.org/W1977863971","https://openalex.org/W2041497292","https://openalex.org/W2104955141","https://openalex.org/W2153175458","https://openalex.org/W2165771286","https://openalex.org/W2579152745","https://openalex.org/W2769905613","https://openalex.org/W2917854536","https://openalex.org/W2963566548","https://openalex.org/W2964095005","https://openalex.org/W3021953217","https://openalex.org/W3097096317","https://openalex.org/W3126909071","https://openalex.org/W3145616275","https://openalex.org/W4299586661","https://openalex.org/W6638638512","https://openalex.org/W6638644366","https://openalex.org/W6660695881","https://openalex.org/W6675785006","https://openalex.org/W6776240797","https://openalex.org/W6792397255"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4285815683","https://openalex.org/W325114128","https://openalex.org/W2970510692"],"abstract_inverted_index":{"This":[0],"paper":[1,96],"deals":[2],"with":[3,65,70,118,124],"the":[4,13,80,103,108],"evaluation":[5],"of":[6,28,53,105,107],"several":[7],"methods":[8,21,110],"for":[9],"face":[10,14,54,59,126],"detection":[11],"when":[12],"is":[15],"covered":[16],"by":[17,114],"a":[18],"mask.":[19],"The":[20,76],"evaluated":[22],"are":[23,56],"Haar":[24],"cascade":[25],"and":[26,43,74],"Histogram":[27],"Oriented":[29],"Gradients":[30],"as":[31,45],"feature-based":[32],"approaches,":[33],"Multitask":[34],"Cascade":[35],"Convolutional":[36],"Neural":[37],"Network,":[38],"Max":[39],"Margin":[40],"Object":[41],"Detection":[42],"TinyFace":[44,77],"convolutional":[46],"neural":[47],"network":[48],"based":[49],"approaches.":[50,93],"Various":[51],"types":[52],"masks":[55],"considered:":[57],"disposal":[58],"mask,":[60],"burka,":[61],"balaclava,":[62],"ski":[63,66],"helmet":[64,69],"goggles,":[67],"hockey":[68],"protective":[71],"grill,":[72],"costumes,":[73],"others.":[75],"method":[78],"achieves":[79],"best":[81],"accuracy":[82,104],"result,":[83],"but":[84],"also":[85],"requires":[86],"much":[87],"more":[88],"computational":[89],"power":[90],"than":[91],"other":[92],"Therefore,":[94],"this":[95],"describes":[97],"an":[98],"experiment":[99],"to":[100],"see":[101],"if":[102],"some":[106],"remaining":[109],"can":[111],"be":[112],"improved":[113],"retraining":[115],"their":[116],"models":[117],"new":[119],"image":[120],"data":[121],"containing":[122],"faces":[123],"various":[125],"masks.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}