{"id":"https://openalex.org/W4400527589","doi":"https://doi.org/10.1109/fg59268.2024.10582042","title":"Efficient Detection of Disguised Faces Using Photos/Sketches from Low-Quality Surveillance Footage","display_name":"Efficient Detection of Disguised Faces Using Photos/Sketches from Low-Quality Surveillance Footage","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400527589","doi":"https://doi.org/10.1109/fg59268.2024.10582042"},"language":"en","primary_location":{"id":"doi:10.1109/fg59268.2024.10582042","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg59268.2024.10582042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109819189","display_name":"Nikhil Reddy Pottanigari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155582","display_name":"Centre Universitaire de Mila","ror":"https://ror.org/05s3cw058","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210155582"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA","DZ"],"is_corresponding":false,"raw_author_name":"Nikhil Reddy Pottanigari","raw_affiliation_strings":["University of Montreal (MILA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Montreal (MILA)","institution_ids":["https://openalex.org/I4210155582","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103308481","display_name":"Rithin Pullela","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rithin Pullela","raw_affiliation_strings":["Texas A&#x0026;M University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113285130","display_name":"Abdul Kalam Azad Shaik","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdul Kalam Azad Shaik","raw_affiliation_strings":["University of Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080500061","display_name":"R Reddy","orcid":"https://orcid.org/0000-0002-3762-9668"},"institutions":[{"id":"https://openalex.org/I51504820","display_name":"San Jose State University","ror":"https://ror.org/04qyvz380","country_code":"US","type":"education","lineage":["https://openalex.org/I51504820"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rithik Reddy","raw_affiliation_strings":["San Jose State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"San Jose State University","institution_ids":["https://openalex.org/I51504820"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50383246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9731000065803528,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9731000065803528,"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/T11448","display_name":"Face recognition and analysis","score":0.9427000284194946,"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":0.9409999847412109,"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/computer-science","display_name":"Computer science","score":0.6797183156013489},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5149841904640198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40446794033050537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38472071290016174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797183156013489},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5149841904640198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40446794033050537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38472071290016174},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg59268.2024.10582042","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg59268.2024.10582042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Face":[0],"recognition":[1],"in":[2,9,17,65,72,93,112,153],"surveillance":[3,18,162],"footage":[4],"plays":[5],"a":[6,50,54,87,132,136,144,150],"pivotal":[7],"role":[8],"criminal":[10,25],"investigations.":[11],"However,":[12],"challenges":[13],"emerge":[14],"when":[15,43],"faces":[16,61],"videos":[19],"are":[20,63,79],"of":[21,59,68,77,82],"low":[22,69],"resolution,":[23],"making":[24],"detection":[26],"less":[27],"feasible.":[28],"While":[29],"certain":[30],"techniques":[31],"enhance":[32],"these":[33],"low-resolution":[34,96],"images":[35],"to":[36,102],"clearer,":[37],"high-resolution":[38],"versions,":[39],"they":[40],"still":[41],"fail":[42],"confronted":[44],"with":[45,134],"disguised":[46,159],"individuals.":[47],"This":[48,147],"creates":[49],"pressing":[51],"need":[52],"for":[53,120,157],"more":[55],"adaptable":[56],"solution":[57],"capable":[58],"identifying":[60,158],"that":[62,90],"both":[64],"disguise":[66,94],"and":[67,99,142],"resolution.":[70],"Additionally,":[71],"some":[73],"cases,":[74],"only":[75],"sketches":[76],"suspects":[78],"available":[80],"instead":[81],"images.":[83],"Our":[84],"research":[85,148],"introduces":[86],"comprehensive":[88],"system":[89,117],"identifies":[91],"criminals":[92,160],"from":[95,161],"video":[97],"streams":[98],"map":[100],"it":[101],"either":[103],"his/her":[104],"photo":[105],"or":[106],"the":[107,113],"sketch":[108],"based":[109],"on":[110,123,131],"availability":[111],"database.":[114],"Notably,":[115],"our":[116],"is":[118],"designed":[119],"efficient":[121],"deployment":[122],"edge":[124],"nodes,":[125],"demonstrated":[126],"by":[127],"its":[128],"smooth":[129],"operation":[130],"server":[133],"just":[135],"1GB":[137],"RAM-enabled":[138],"CPU,":[139],"30GB":[140],"storage,":[141],"utilizing":[143],"t2.micro":[145],"instance.":[146],"represents":[149],"step":[151],"forward":[152],"real-world":[154],"deployable":[155],"solutions":[156],"data.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
