{"id":"https://openalex.org/W1985850270","doi":"https://doi.org/10.1109/his.2011.6122186","title":"Optimal skin detection for face localization using genetic algorithms","display_name":"Optimal skin detection for face localization using genetic algorithms","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W1985850270","doi":"https://doi.org/10.1109/his.2011.6122186","mag":"1985850270"},"language":"en","primary_location":{"id":"doi:10.1109/his.2011.6122186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2011.6122186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Hybrid Intelligent Systems (HIS)","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/A5052364789","display_name":"T. Ravindra Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I110675161","display_name":"Infosys (India)","ror":"https://ror.org/03bs18y54","country_code":"IN","type":"company","lineage":["https://openalex.org/I110675161"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"T. Ravindra Babu","raw_affiliation_strings":["E-Comm Research Laboratory, Infosys Limited, Bangalore, India","E-Comm Research Lab, Infosys Limited, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"E-Comm Research Laboratory, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"E-Comm Research Lab, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085755939","display_name":"K. Mahalakshmi","orcid":null},"institutions":[{"id":"https://openalex.org/I110675161","display_name":"Infosys (India)","ror":"https://ror.org/03bs18y54","country_code":"IN","type":"company","lineage":["https://openalex.org/I110675161"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Mahalakshmi","raw_affiliation_strings":["E-Comm Research Laboratory, Infosys Limited, Bangalore, India","E-Comm Research Lab, Infosys Limited, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"E-Comm Research Laboratory, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"E-Comm Research Lab, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020564270","display_name":"S. V. Subrahmanya","orcid":null},"institutions":[{"id":"https://openalex.org/I110675161","display_name":"Infosys (India)","ror":"https://ror.org/03bs18y54","country_code":"IN","type":"company","lineage":["https://openalex.org/I110675161"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S.V. Subrahmanya","raw_affiliation_strings":["E-Comm Research Laboratory, Infosys Limited, Bangalore, India","E-Comm Research Lab, Infosys Limited, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"E-Comm Research Laboratory, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"E-Comm Research Lab, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052364789"],"corresponding_institution_ids":["https://openalex.org/I110675161"],"apc_list":null,"apc_paid":null,"fwci":0.5151,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66546588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6134","issue":null,"first_page":"668","last_page":"673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9746000170707703,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9621999859809875,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/face-detection","display_name":"Face detection","score":0.8445207476615906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7603859901428223},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.7557968497276306},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.7459723949432373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6798545122146606},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6548194885253906},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6040219068527222},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6005203723907471},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5452739000320435},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5389168858528137},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.5165473818778992},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4685407876968384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.376374214887619}],"concepts":[{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.8445207476615906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7603859901428223},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.7557968497276306},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.7459723949432373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6798545122146606},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6548194885253906},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6040219068527222},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6005203723907471},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5452739000320435},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5389168858528137},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.5165473818778992},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4685407876968384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.376374214887619},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/his.2011.6122186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2011.6122186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 11th International Conference on Hybrid Intelligent Systems (HIS)","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":12,"referenced_works":["https://openalex.org/W565449262","https://openalex.org/W1538209862","https://openalex.org/W1591264412","https://openalex.org/W2078088780","https://openalex.org/W2106309274","https://openalex.org/W2119374145","https://openalex.org/W2121601095","https://openalex.org/W2125277152","https://openalex.org/W2153493250","https://openalex.org/W2163965432","https://openalex.org/W4229921563","https://openalex.org/W6635262914"],"related_works":["https://openalex.org/W4206923589","https://openalex.org/W3014491775","https://openalex.org/W2145462227","https://openalex.org/W74006108","https://openalex.org/W4360994936","https://openalex.org/W3034828634","https://openalex.org/W2910627863","https://openalex.org/W325114128","https://openalex.org/W4200005109","https://openalex.org/W2740726493"],"abstract_inverted_index":{"Face":[0,14,23],"Recognition":[1,24],"remains":[2],"a":[3],"challenging":[4],"task":[5,53],"over":[6],"two":[7],"decades":[8],"in":[9,22,28,37,60],"spite":[10],"of":[11,51,76],"many":[12],"advances.":[13],"Localization":[15],"and":[16,47],"Detection":[17],"forms":[18],"an":[19],"important":[20],"step":[21],"systems,":[25],"face":[26,40],"tracking":[27],"video":[29],"surveillance,":[30],"gesture":[31],"analytics,":[32],"etc.":[33,67],"Many":[34],"algorithms":[35],"are":[36],"use":[38],"for":[39,79,83],"detection":[41],"each":[42],"having":[43],"their":[44],"relative":[45],"advantages":[46],"disadvantages.":[48],"The":[49],"challenges":[50],"the":[52,69],"emanate":[54],"from":[55],"with":[56],"image":[57],"specific":[58],"variations":[59],"color":[61,84,96],"components,":[62],"light":[63],"saturation,":[64],"background":[65],"clutter":[66],"In":[68],"current":[70],"work,":[71],"we":[72],"focus":[73],"on":[74],"application":[75],"Genetic":[77],"Algorithms":[78],"finding":[80],"optimal":[81],"limits":[82],"components":[85],"as":[86,88],"well":[87],"de-saturation":[89],"that":[90],"leads":[91],"to":[92],"highly":[93],"accurate":[94],"skin":[95],"detection.":[97]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
