{"id":"https://openalex.org/W4327767814","doi":"https://doi.org/10.1109/ccnc51644.2023.10059664","title":"Real Time Facial Recognition and Tracking System Using Drones","display_name":"Real Time Facial Recognition and Tracking System Using Drones","publication_year":2023,"publication_date":"2023-01-08","ids":{"openalex":"https://openalex.org/W4327767814","doi":"https://doi.org/10.1109/ccnc51644.2023.10059664"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc51644.2023.10059664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51644.2023.10059664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","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/A5048228929","display_name":"Artak Melkumyan","orcid":null},"institutions":[{"id":"https://openalex.org/I157638225","display_name":"California State University, Northridge","ror":"https://ror.org/005f5hv41","country_code":"US","type":"education","lineage":["https://openalex.org/I157638225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Artak Melkumyan","raw_affiliation_strings":["California State University,Computer Science Department,Northridge,CA,USA","Computer Science Department, California State University, Northridge, CA, USA"],"affiliations":[{"raw_affiliation_string":"California State University,Computer Science Department,Northridge,CA,USA","institution_ids":["https://openalex.org/I157638225"]},{"raw_affiliation_string":"Computer Science Department, California State University, Northridge, CA, USA","institution_ids":["https://openalex.org/I157638225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074474110","display_name":"Katya Mkrtchyan","orcid":"https://orcid.org/0000-0002-7482-2096"},"institutions":[{"id":"https://openalex.org/I157638225","display_name":"California State University, Northridge","ror":"https://ror.org/005f5hv41","country_code":"US","type":"education","lineage":["https://openalex.org/I157638225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katya Mkrtchyan","raw_affiliation_strings":["California State University,Computer Science Department,Northridge,CA,USA","Computer Science Department, California State University, Northridge, CA, USA"],"affiliations":[{"raw_affiliation_string":"California State University,Computer Science Department,Northridge,CA,USA","institution_ids":["https://openalex.org/I157638225"]},{"raw_affiliation_string":"Computer Science Department, California State University, Northridge, CA, USA","institution_ids":["https://openalex.org/I157638225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048228929"],"corresponding_institution_ids":["https://openalex.org/I157638225"],"apc_list":null,"apc_paid":null,"fwci":0.8023,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70639479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"975","last_page":"976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.7950999736785889,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.7950999736785889,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.8257832527160645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7798737287521362},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7414424419403076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6988071799278259},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6453729271888733},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.570918083190918},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5335664749145508},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4736793339252472},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.46350616216659546},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.43752190470695496},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4309486448764801},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4271736145019531},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.42074650526046753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3490123152732849},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3287461996078491},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.29048609733581543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15112489461898804}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8257832527160645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798737287521362},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7414424419403076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6988071799278259},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6453729271888733},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.570918083190918},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5335664749145508},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4736793339252472},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.46350616216659546},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.43752190470695496},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4309486448764801},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4271736145019531},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.42074650526046753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3490123152732849},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3287461996078491},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.29048609733581543},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15112489461898804},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc51644.2023.10059664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51644.2023.10059664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2046286451","https://openalex.org/W2096733369","https://openalex.org/W2164598857","https://openalex.org/W3032792111","https://openalex.org/W3037260291","https://openalex.org/W3135323465","https://openalex.org/W3192290925","https://openalex.org/W4240751621","https://openalex.org/W6783133048"],"related_works":["https://openalex.org/W2041800626","https://openalex.org/W1986803802","https://openalex.org/W3104910122","https://openalex.org/W2185537520","https://openalex.org/W2940931619","https://openalex.org/W1520420617","https://openalex.org/W4282971840","https://openalex.org/W3093553087","https://openalex.org/W3035679399","https://openalex.org/W2185921194"],"abstract_inverted_index":{"Facial":[0],"recognition":[1,70,98,115,152,191,218],"technology":[2,219],"has":[3],"come":[4],"a":[5,18,32,50,59,92,135,241,245,252],"long":[6],"way":[7],"and":[8,25,30,56,72,90,102,126,140,176,229],"it":[9],"is":[10,38,227],"still":[11],"rapidly":[12],"advancing.":[13],"A":[14],"system":[15,46,153,203,214],"composed":[16],"of":[17,21,41,88,129,137,149,159,172],"drone":[19,51,161,213],"capable":[20],"autonomous":[22],"facial":[23,69,97,114,151,181,190,217],"detection":[24],"recognition,":[26],"used":[27],"to":[28,76,104,134,145,156,187,220,251],"find":[29],"track":[31,221],"specified":[33,94],"individual":[34,223],"in":[35,109,224,234,244],"real":[36,225],"time,":[37],"the":[39,77,82,86,147,157,160,170,210,235],"subject":[40],"this":[42,110],"paper.":[43],"The":[44,112,206],"automated":[45,212],"works":[47,107],"by":[48,194],"having":[49],"responsible":[52],"for":[53],"video":[54,63],"capture":[55],"streaming,":[57],"while":[58,165],"computer,":[60],"receiving":[61],"that":[62,179,209,215],"stream,":[64],"will":[65],"run":[66],"modern":[67],"day":[68],"algorithms":[71],"relay":[73],"instructions":[74,80],"back":[75],"drone.":[78],"These":[79],"control":[81],"drone's":[83],"movements":[84],"with":[85,154],"goal":[87],"identifying":[89,248],"tracking":[91],"singular":[93],"individual.":[95],"Three":[96],"systems":[99,116],"were":[100,131,143,185],"implemented":[101,211],"tested":[103,118],"see":[105],"which":[106,130],"best":[108],"system.":[111],"three":[113],"being":[117],"are":[119],"Local":[120],"Binary":[121],"Pattern":[122],"Histogram":[123],"(LBPH),":[124],"FaceNet,":[125],"Face_Recognition,":[127],"all":[128],"chosen":[132],"due":[133],"mixture":[136],"their":[138],"performance":[139,148,193],"prominence.":[141],"Experiments":[142],"conducted":[144,186],"quantify":[146],"each":[150,189,202],"respect":[155],"distance":[158],"from":[162],"an":[163,173,222],"individual,":[164],"also":[166],"taking":[167],"into":[168],"consideration":[169],"angle":[171],"individual's":[174],"face":[175],"common":[177],"accessories":[178],"cause":[180],"obstruction.":[182],"Additional":[183],"experiments":[184],"measure":[188],"system's":[192],"examining":[195],"how":[196],"many":[197],"frames":[198],"per":[199],"second":[200],"(FPS)":[201],"could":[204],"analyze.":[205],"results":[207],"showed":[208],"uses":[216],"time":[226],"practical":[228],"can":[230],"have":[231],"huge":[232],"implications":[233],"security":[236],"field,":[237],"such":[238],"as":[239],"locating":[240],"lost":[242],"child":[243],"crowd":[246],"or":[247],"targets":[249],"prior":[250],"police":[253],"raid.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}