{"id":"https://openalex.org/W4393034747","doi":"https://doi.org/10.1109/sitis61268.2023.00057","title":"Lightweight Low-Resolution Open-Set Face Recognition in Surveillance Applications","display_name":"Lightweight Low-Resolution Open-Set Face Recognition in Surveillance Applications","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4393034747","doi":"https://doi.org/10.1109/sitis61268.2023.00057"},"language":"en","primary_location":{"id":"doi:10.1109/sitis61268.2023.00057","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sitis61268.2023.00057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 17th International Conference on Signal-Image Technology &amp;amp; Internet-Based Systems (SITIS)","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/A5020358796","display_name":"Ravindra Kumar Soni","orcid":"https://orcid.org/0000-0002-2665-7073"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravindra Kumar Soni","raw_affiliation_strings":["MNIT Jaipur,Department of Computer Science,Rajasthan,India","Department of Computer Science, MNIT Jaipur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MNIT Jaipur,Department of Computer Science,Rajasthan,India","institution_ids":["https://openalex.org/I83205935"]},{"raw_affiliation_string":"Department of Computer Science, MNIT Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I83205935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050462733","display_name":"Neeta Nain","orcid":"https://orcid.org/0000-0002-0550-0376"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neeta Nain","raw_affiliation_strings":["MNIT Jaipur,Department of Computer Science,Rajasthan,India","Department of Computer Science, MNIT Jaipur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MNIT Jaipur,Department of Computer Science,Rajasthan,India","institution_ids":["https://openalex.org/I83205935"]},{"raw_affiliation_string":"Department of Computer Science, MNIT Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I83205935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83205935"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27411221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"139","issue":null,"first_page":"319","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.902400016784668,"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/face","display_name":"Face (sociological concept)","score":0.667529821395874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6426622271537781},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5431342720985413},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.53231281042099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47831490635871887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4718237817287445},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.46851325035095215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34192919731140137}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.667529821395874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426622271537781},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5431342720985413},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.53231281042099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47831490635871887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4718237817287445},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.46851325035095215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34192919731140137},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sitis61268.2023.00057","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sitis61268.2023.00057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 17th International Conference on Signal-Image Technology &amp;amp; Internet-Based Systems (SITIS)","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":33,"referenced_works":["https://openalex.org/W1509966554","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1981341515","https://openalex.org/W2019464758","https://openalex.org/W2055492845","https://openalex.org/W2096733369","https://openalex.org/W2112796928","https://openalex.org/W2121058967","https://openalex.org/W2145607950","https://openalex.org/W2186615578","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2480418144","https://openalex.org/W2520774990","https://openalex.org/W2579152745","https://openalex.org/W2792481260","https://openalex.org/W2798814955","https://openalex.org/W2915480215","https://openalex.org/W2963314072","https://openalex.org/W2963460857","https://openalex.org/W2963466847","https://openalex.org/W2963839617","https://openalex.org/W2963976704","https://openalex.org/W2965774906","https://openalex.org/W2969985801","https://openalex.org/W3024539255","https://openalex.org/W3113043394","https://openalex.org/W3160336571","https://openalex.org/W6630649318","https://openalex.org/W6681239517","https://openalex.org/W6686509673","https://openalex.org/W6750960112"],"related_works":["https://openalex.org/W1517180214","https://openalex.org/W2082780921","https://openalex.org/W2025517136","https://openalex.org/W2028664052","https://openalex.org/W634414395","https://openalex.org/W2186016250","https://openalex.org/W2347824352","https://openalex.org/W2098693229","https://openalex.org/W2112875849","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Unconstrained":[0],"face":[1,187],"recognition":[2,188],"in":[3,10,35,76,101,114,139],"surveillance":[4,55],"scenarios":[5],"has":[6,92,135],"always":[7],"been":[8,93,137],"challenging":[9],"computer":[11],"vision.":[12],"Identities":[13],"captured":[14,56],"near":[15],"to":[16,59,69,122,148,153,162,178,185,192],"the":[17,27,47,54,60,71,77,97,102,107,115,123,140,145,149,167,193],"camera":[18,28],"have":[19,29,40],"high-resolution":[20,61,150],"(HR)":[21],"images":[22,39,58,100,147,151],"while":[23,45],"those":[24],"far":[25],"from":[26,143],"low-resolution":[30,57,99],"(LR)":[31],"and":[32,131],"are":[33,157,174,190],"tiny":[34],"size.":[36],"Hence,":[37],"surveillance-captured":[38,146],"a":[41,64,109],"constraint":[42],"of":[43,73,129],"distance":[44],"collecting":[46],"data.":[48],"When":[49],"matching":[50,81,144,165],"is":[51,67,112],"applied":[52],"on":[53],"gallery":[62],"images,":[63],"common":[65],"space":[66,78],"needed":[68],"project":[70],"embeddings":[72],"both":[74],"identities":[75],"so":[79],"that":[80,117,189],"can":[82],"be":[83],"applied.":[84],"In":[85],"this":[86],"paper,":[87],"A":[88,127],"lightweight":[89,110,132],"pipeline":[90],"framework":[91,116],"implemented":[94],"for":[95,160,176,183],"recognizing":[96],"unconstrained":[98],"open-set":[103],"scenario.":[104],"While":[105],"designing":[106],"pipeline,":[108],"network":[111,133],"used":[113],"produces":[118],"identification":[119],"accuracy":[120],"comparable":[121,191],"deep":[124,130],"learning":[125],"models.":[126,196],"comparison":[128],"architectures":[134],"also":[136,158],"made":[138,159],"paper.":[141],"Apart":[142],"(LR":[152],"HR":[154,179],"matching),":[155],"experiments":[156],"LR":[161,163,177,184,186],"image":[164],"using":[166],"TinyFace":[168],"dataset.":[169],"Extensive":[170],"qualitative":[171],"experimental":[172],"results":[173],"computed":[175],"as":[180,182],"well":[181],"state-of-the-art":[194],"(SOTA)":[195]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
