{"id":"https://openalex.org/W4388340992","doi":"https://doi.org/10.23939/ictee2023.02.033","title":"FACE RECOGNITION METHODS IN VIDEO SURVEILLANCE SYSTEMS USING MACHINE LEARNING","display_name":"FACE RECOGNITION METHODS IN VIDEO SURVEILLANCE SYSTEMS USING MACHINE LEARNING","publication_year":2023,"publication_date":"2023-09-01","ids":{"openalex":"https://openalex.org/W4388340992","doi":"https://doi.org/10.23939/ictee2023.02.033"},"language":"en","primary_location":{"id":"doi:10.23939/ictee2023.02.033","doi":"https://doi.org/10.23939/ictee2023.02.033","is_oa":true,"landing_page_url":"https://doi.org/10.23939/ictee2023.02.033","pdf_url":"https://science.lpnu.ua/sites/default/files/journal-paper/2023/oct/31561/paper4_0.pdf","source":{"id":"https://openalex.org/S4210179547","display_name":"Information and communication technologies electronic engineering","issn_l":"2786-4553","issn":["2786-4553"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information and communication technologies, electronic engineering","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://science.lpnu.ua/sites/default/files/journal-paper/2023/oct/31561/paper4_0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009395142","display_name":"\u0412\u0430\u0441\u0438\u043b\u044c \u041c\u0420\u0410\u041a","orcid":"https://orcid.org/0009-0002-6066-5592","observed_orcids":["https://orcid.org/0009-0002-6066-5592"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M. Mrak","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0002-6066-5592","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5009395142"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1845,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.44705077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":"2","first_page":"33","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9965999722480774,"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":0.9965999722480774,"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":0.002300000051036477,"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/T10828","display_name":"Biometric Identification and Security","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/face-recognition","display_name":"face recognition","score":0.9380000233650208},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.9480000138282776},{"id":"https://openalex.org/keywords/security-systems","display_name":"security systems","score":0.6240000128746033},{"id":"https://openalex.org/keywords/retinaface","display_name":"RetinaFace","score":0.7739999890327454},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"affine transformation","score":0.6129999756813049},{"id":"https://openalex.org/keywords/rotation-robustness","display_name":"rotation robustness","score":0.7289999723434448},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"scale invariance","score":0.7749999761581421},{"id":"https://openalex.org/keywords/real-time-recognition","display_name":"real-time recognition","score":0.4740000069141388},{"id":"https://openalex.org/keywords/custom-dataset","display_name":"custom dataset","score":0.37299999594688416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964482307434082},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6991593241691589},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6977889537811279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6422685980796814},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.4954313039779663},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4834352731704712},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4771139919757843},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4557795226573944},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4404899477958679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41941037774086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3889350891113281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0741955041885376},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23939/ictee2023.02.033","doi":"https://doi.org/10.23939/ictee2023.02.033","is_oa":true,"landing_page_url":"https://doi.org/10.23939/ictee2023.02.033","pdf_url":"https://science.lpnu.ua/sites/default/files/journal-paper/2023/oct/31561/paper4_0.pdf","source":{"id":"https://openalex.org/S4210179547","display_name":"Information and communication technologies electronic engineering","issn_l":"2786-4553","issn":["2786-4553"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information and communication technologies, electronic engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.23939/ictee2023.02.033","doi":"https://doi.org/10.23939/ictee2023.02.033","is_oa":true,"landing_page_url":"https://doi.org/10.23939/ictee2023.02.033","pdf_url":"https://science.lpnu.ua/sites/default/files/journal-paper/2023/oct/31561/paper4_0.pdf","source":{"id":"https://openalex.org/S4210179547","display_name":"Information and communication technologies electronic engineering","issn_l":"2786-4553","issn":["2786-4553"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information and communication technologies, electronic engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388340992.pdf","grobid_xml":"https://content.openalex.org/works/W4388340992.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2341528187","https://openalex.org/W2963566548","https://openalex.org/W2964325361","https://openalex.org/W3034552680","https://openalex.org/W3039398238","https://openalex.org/W3101998545","https://openalex.org/W4237247744"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W2058325696","https://openalex.org/W2185537520","https://openalex.org/W325114128","https://openalex.org/W4285815683","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"The":[0,30,96],"article":[1],"is":[2],"dedicated":[3],"to":[4,13,64,119,166],"the":[5,15,69,74,81,102,125,137,150,153,158],"investigation":[6],"of":[7,33,73,84,139],"face":[8],"identification":[9],"methods":[10,35,76,105,155],"and":[11,36,43,71,110,114],"aims":[12],"determine":[14],"most":[16,103,126],"suitable":[17],"one":[18],"for":[19,56,77,131],"a":[20,66,85,93,134],"security":[21,86,135],"system":[22,87],"based":[23,88],"on":[24,89],"facial":[25,90,120,128,141],"recognition":[26,91,129,154],"from":[27],"surveillance":[28],"cameras.":[29],"time":[31],"costs":[32],"these":[34],"their":[37,78,162],"robustness":[38],"against":[39],"geometric":[40],"scale":[41],"distortions":[42],"rotations":[44],"in":[45,92,157],"various":[46],"planes":[47],"have":[48,53,161],"been":[49,54,62],"analyzed.":[50],"Custom":[51],"datasets":[52],"generated":[55],"experimentation":[57],"purposes.":[58],"Special":[59],"attention":[60],"has":[61,99],"given":[63],"striking":[65],"balance":[67],"between":[68],"speed":[70],"accuracy":[72],"examined":[75],"utilization":[79],"as":[80,147,149],"initial":[82],"stage":[83,160],"video":[94],"stream.":[95],"conducted":[97],"research":[98],"revealed":[100],"that":[101,152],"effective":[104],"are":[106,117],"RetinaFace-MobileNet0.25,":[107],"FaceBoxes,":[108],"SCRFD500MF,":[109],"CenterFace;":[111],"RetinaFaceResNet125,":[112],"DSFD,":[113],"RetinaFaceMobile0.25":[115],"which":[116],"resilient":[118],"rotations.":[121],"Furthermore,":[122],"when":[123],"selecting":[124],"optimal":[127],"method":[130],"application":[132],"within":[133],"system,":[136],"presence":[138],"informative":[140],"parameters":[142],"was":[143],"taken":[144],"into":[145],"account,":[146],"well":[148],"fact":[151],"used":[156],"subsequent":[159],"limitations":[163],"concerning":[164],"resilience":[165],"affine":[167],"transformations.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2023-11-05T00:00:00"}
