{"id":"https://openalex.org/W2315172306","doi":"https://doi.org/10.1109/aipr.2015.7444542","title":"Hybrid sensing face detection and recognition","display_name":"Hybrid sensing face detection and recognition","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2315172306","doi":"https://doi.org/10.1109/aipr.2015.7444542","mag":"2315172306"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2015.7444542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2015.7444542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5051611579","display_name":"Mingyuan Zhou","orcid":"https://orcid.org/0000-0001-6722-1623"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mingyuan Zhou","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010323059","display_name":"Haiting Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haiting Lin","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500646","display_name":"Jingyi Yu","orcid":"https://orcid.org/0000-0001-9198-6853"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyi Yu","raw_affiliation_strings":["University of Delaware, Newark, DE, USA"],"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109186875","display_name":"S. Susan Young","orcid":null},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Susan Young","raw_affiliation_strings":["US Army Research Laboratory, Adelphi, MD, US"],"affiliations":[{"raw_affiliation_string":"US Army Research Laboratory, Adelphi, MD, US","institution_ids":["https://openalex.org/I166416128"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051611579"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":0.1841,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61656226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9980999827384949,"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":0.9923999905586243,"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/computer-science","display_name":"Computer science","score":0.6386431455612183},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.595027506351471},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.532757043838501},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5203220844268799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4845818281173706},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4063355326652527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35240328311920166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6386431455612183},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.595027506351471},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.532757043838501},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5203220844268799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4845818281173706},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4063355326652527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35240328311920166},{"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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2015.7444542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2015.7444542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1595116748","https://openalex.org/W1709036216","https://openalex.org/W1780066064","https://openalex.org/W1916406603","https://openalex.org/W1976948919","https://openalex.org/W1991544872","https://openalex.org/W2013661714","https://openalex.org/W2013958830","https://openalex.org/W2047508432","https://openalex.org/W2090242388","https://openalex.org/W2117138194","https://openalex.org/W2120284346","https://openalex.org/W2120566978","https://openalex.org/W2127661044","https://openalex.org/W2141125852","https://openalex.org/W2144354855","https://openalex.org/W2147292045","https://openalex.org/W2155217597","https://openalex.org/W2162292222","https://openalex.org/W2163605009","https://openalex.org/W2166465411","https://openalex.org/W2237250383","https://openalex.org/W2394984844","https://openalex.org/W2616465717","https://openalex.org/W6637940854","https://openalex.org/W6640184732","https://openalex.org/W6662335928","https://openalex.org/W6677833576","https://openalex.org/W6679135890","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2116423617","https://openalex.org/W2347824352","https://openalex.org/W1967587236","https://openalex.org/W2112875849","https://openalex.org/W2384651879","https://openalex.org/W2336272890","https://openalex.org/W2151699605","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293"],"abstract_inverted_index":{"The":[0,111,124],"capability":[1],"to":[2,46,98,115,132,138],"track,":[3],"detect,":[4],"and":[5,50,73,122],"identify":[6],"human":[7],"targets":[8],"in":[9,18,22,32,96],"highly":[10],"cluttered":[11],"scenes":[12],"under":[13,52],"extreme":[14],"conditions,":[15],"such":[16,145],"as":[17,146],"complete":[19],"darkness":[20],"or":[21,102],"battlefield,":[23],"has":[24],"been":[25],"one":[26],"of":[27,61,68,92,108,120,157],"the":[28,100,105,109,117,134,155],"primary":[29],"tactical":[30],"advantages":[31],"military":[33],"operations.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"a":[40,58,66,74,90],"new":[41],"collaborative,":[42],"multi-spectrum":[43],"sensing":[44],"solution":[45],"achieve":[47],"face":[48,136,147],"detection":[49],"registration":[51],"low":[53],"lighting":[54],"conditions.":[55],"We":[56,83],"construct":[57],"novel":[59],"type":[60],"hybrid":[62],"sensors":[63],"by":[64],"combining":[65],"pair":[67],"near":[69],"infrared":[70,80],"(NIR)":[71],"cameras":[72],"thermal":[75,135],"camera":[76],"(a":[77],"long":[78],"wave":[79],"LWIR":[81],"camera).":[82],"strategically":[84],"surround":[85],"each":[86],"NIR":[87],"sensor":[88],"with":[89,154],"ring":[91],"LED":[93],"IR":[94],"flashes":[95],"order":[97],"capture":[99],"\u201cred-eye\u201d,":[101],"more":[103],"precisely,":[104],"\u201cbright-eye\u201d":[106],"effect":[107],"target.":[110],"bright-eyes":[112],"are":[113],"used":[114,131],"localize":[116],"3D":[118,126],"position":[119],"eyes":[121],"face.":[123],"recovered":[125],"information":[127],"can":[128,149],"be":[129,150],"further":[130],"warp":[133],"imagery":[137],"frontal-parallel":[139],"pose":[140],"so":[141],"that":[142],"additional":[143],"tasks":[144],"recognition":[148],"reliably":[151],"conducted,":[152],"especially":[153],"assistance":[156],"accurate":[158],"eye":[159],"locations.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}