{"id":"https://openalex.org/W2790948119","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301924","title":"The video face recognition method and system based on the fusion of multiple features","display_name":"The video face recognition method and system based on the fusion of multiple features","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2790948119","doi":"https://doi.org/10.1109/cisp-bmei.2017.8301924","mag":"2790948119"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8301924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100348097","display_name":"Xin Ye","orcid":"https://orcid.org/0000-0001-8308-4737"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Ye","raw_affiliation_strings":["Shanghai University, School of Communication and Information Engineering, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, School of Communication and Information Engineering, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028518753","display_name":"Qiuyu Zhu","orcid":"https://orcid.org/0000-0001-9514-9323"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyu Zhu","raw_affiliation_strings":["Shanghai University, School of Communication and Information Engineering, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai University, School of Communication and Information Engineering, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100348097"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21942063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"157","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983000159263611,"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":0.9983000159263611,"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":0.989300012588501,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9761000275611877,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8274117112159729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.757427990436554},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7472362518310547},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6859289407730103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6626387238502502},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5968747138977051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5935544967651367},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5612887740135193},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5128408074378967},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5101144909858704},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5014340877532959},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49003899097442627},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3744363486766815},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.28153330087661743}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8274117112159729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757427990436554},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7472362518310547},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6859289407730103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6626387238502502},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5968747138977051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5935544967651367},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5612887740135193},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5128408074378967},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5101144909858704},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5014340877532959},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49003899097442627},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3744363486766815},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.28153330087661743},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/cisp-bmei.2017.8301924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8301924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W23758216","https://openalex.org/W1545641654","https://openalex.org/W1991848143","https://openalex.org/W2020395588","https://openalex.org/W2029230120","https://openalex.org/W2042853000","https://openalex.org/W2047508432","https://openalex.org/W2135463994","https://openalex.org/W2136858165","https://openalex.org/W2151103935","https://openalex.org/W2165731615","https://openalex.org/W2166694921","https://openalex.org/W2335787378","https://openalex.org/W2519985940","https://openalex.org/W2523915246","https://openalex.org/W2548197316","https://openalex.org/W2949886390","https://openalex.org/W3151307102","https://openalex.org/W6648197129","https://openalex.org/W6726633673","https://openalex.org/W6727535582"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W2058325696","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W3108145925","https://openalex.org/W4387163326","https://openalex.org/W1517271056","https://openalex.org/W2545238862"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,12,34,48,59,97],"video":[6,99],"face":[7,13,93],"recognition":[8,14,114],"system":[9],"and":[10,27,63,83,96,104],"study":[11],"method":[15],"which":[16,36,52,65],"uses":[17,66],"feature":[18,35,51,64,112,120],"fusion":[19,71],"in":[20],"video.":[21],"The":[22,70],"characteristics":[23],"of":[24,44,50,61,72,80],"LBPH,":[25],"SIFT":[26,46],"VIPLFaceNet":[28,57],"are":[29],"firstly":[30],"discussed.":[31],"LBPH":[32],"is":[33,37,47,53,58],"based":[38],"on":[39,86],"the":[40,78,89,91,105],"local":[41],"gray":[42],"difference":[43],"image.":[45],"kind":[49,60],"invariable":[54],"to":[55,102],"scale.":[56],"algorithm":[62],"convolution":[67],"neural":[68],"network.":[69],"these":[73],"three":[74],"features":[75],"can":[76],"eliminate":[77],"influences":[79],"illumination,":[81],"rotation":[82],"scale":[84],"change":[85],"recognition.":[87],"For":[88],"experiment,":[90],"ORL":[92],"data":[94],"set":[95],"real":[98],"was":[100],"used":[101],"test,":[103],"results":[106],"show":[107],"that,":[108],"compared":[109],"with":[110,119],"single":[111],"recognition,":[113],"rate":[115],"has":[116],"improved":[117],"significantly":[118],"fusion.":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
