{"id":"https://openalex.org/W3095787010","doi":"https://doi.org/10.1145/3421766.3421803","title":"A Method for Fast Capturing Human Face in Video Image Based on Color Features","display_name":"A Method for Fast Capturing Human Face in Video Image Based on Color Features","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3095787010","doi":"https://doi.org/10.1145/3421766.3421803","mag":"3095787010"},"language":"en","primary_location":{"id":"doi:10.1145/3421766.3421803","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421766.3421803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","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/A5110764459","display_name":"Shukun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shukun Wu","raw_affiliation_strings":["School of Electrical and Information Engineering, Guangxi University of Science and Technology Liuzhou Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Guangxi University of Science and Technology Liuzhou Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101855294","display_name":"Shigang Wang","orcid":"https://orcid.org/0000-0002-3598-9352"},"institutions":[{"id":"https://openalex.org/I18570673","display_name":"Guangxi University of Science and Technology","ror":"https://ror.org/02fj6b627","country_code":"CN","type":"education","lineage":["https://openalex.org/I18570673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shigang Wang","raw_affiliation_strings":["School of Electrical and Information Engineering, Guangxi University of Science and Technology Liuzhou Guangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Guangxi University of Science and Technology Liuzhou Guangxi, China","institution_ids":["https://openalex.org/I18570673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110764459"],"corresponding_institution_ids":["https://openalex.org/I18570673"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12023593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8113999962806702,"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":0.8113999962806702,"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":0.7764000296592712,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.7213000059127808,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8292331695556641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.803703784942627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7569456100463867},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7048238515853882},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5892942547798157},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5565104484558105},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.5003929138183594},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4791147708892822},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4737425744533539},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4707912504673004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28483566641807556}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8292331695556641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.803703784942627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569456100463867},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7048238515853882},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5892942547798157},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5565104484558105},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.5003929138183594},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4791147708892822},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4737425744533539},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4707912504673004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28483566641807556},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3421766.3421803","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421766.3421803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","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":2,"referenced_works":["https://openalex.org/W3010957596","https://openalex.org/W3159371062"],"related_works":["https://openalex.org/W2181570714","https://openalex.org/W3033332270","https://openalex.org/W1581632702","https://openalex.org/W212313038","https://openalex.org/W2336272890","https://openalex.org/W3211418293","https://openalex.org/W325114128","https://openalex.org/W3183843611","https://openalex.org/W4308999381","https://openalex.org/W4308999963"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,110],"method":[3,69,159],"to":[4,13,26,39,60,71,86,127],"fast":[5],"capture":[6],"faces":[7,170],"in":[8,11,24,31,37,44,58,82],"video":[9,33,81,84],"images,":[10],"order":[12,25,38,59],"make":[14],"full":[15],"use":[16,72],"of":[17,21,76,79,187],"the":[18,28,32,42,45,48,54,62,73,80,83,88,93,100,115,122,128,133,144,185],"screening":[19],"effect":[20],"color":[22,74],"features,":[23],"find":[27,162],"face":[29,43,49,116,130,150,165,174,188],"frame":[30,78],"image":[34,85,94],"more":[35,153],"quickly,":[36],"cut":[40],"out":[41,53],"picture":[46],"containing":[47,149,164,173],"information":[50,151],"frame,":[51],"filter":[52],"background":[55],"part,":[56],"and":[57,97,119,121,141,167,179],"expand":[61],"facial":[63],"recognition":[64],"algorithm":[65],"application":[66],"method.":[67],"The":[68],"is":[70,95,102,105,109,117,124,135],"features":[75],"each":[77],"screen":[87],"skin":[89],"color.":[90],"After":[91],"screening,":[92],"sampled":[96],"counted.":[98],"If":[99],"threshold":[101,123,134],"exceeded,":[103,137],"it":[104,108,180],"judged":[106],"whether":[107],"human":[111],"face.":[112],"When":[113],"determining,":[114],"captured":[118],"output":[120],"corrected":[125],"according":[126],"recognized":[129],"information;":[131],"if":[132],"not":[136,183],"skip":[138],"some":[139,177],"frames":[140,163,172],"then":[142],"prejudge":[143],"frames.":[145],"Experiments":[146],"on":[147],"videos":[148],"with":[152],"complex":[154],"backgrounds":[155],"prove":[156],"that":[157],"this":[158],"can":[160,168],"quickly":[161],"information,":[166,175],"intercept":[169],"from":[171],"saving":[176],"time,":[178],"basically":[181],"does":[182],"affect":[184],"accuracy":[186],"capture.":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
