{"id":"https://openalex.org/W2003125512","doi":"https://doi.org/10.1109/his.2012.6421370","title":"Modified Adaboost method for efficient face detection","display_name":"Modified Adaboost method for efficient face detection","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2003125512","doi":"https://doi.org/10.1109/his.2012.6421370","mag":"2003125512"},"language":"en","primary_location":{"id":"doi:10.1109/his.2012.6421370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2012.6421370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Hybrid Intelligent Systems (HIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035263142","display_name":"Himesh Madhuranath","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":"Himesh Madhuranath","raw_affiliation_strings":["Education and Research, Infosys Limited, Bangalore, India","Education and Research, Infosys Ltd., Electronics City, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Education and Research, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"Education and Research, Infosys Ltd., Electronics City, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]}]},{"author_position":"middle","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":false,"raw_author_name":"T. Ravindra Babu","raw_affiliation_strings":["Education and Research, Infosys Limited, Bangalore, India","Education and Research, Infosys Ltd., Electronics City, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Education and Research, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"Education and Research, Infosys Ltd., Electronics City, 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":["Education and Research, Infosys Limited, Bangalore, India","Education and Research, Infosys Ltd., Electronics City, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Education and Research, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"Education and Research, Infosys Ltd., Electronics City, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110675161"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10006171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"415","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9918000102043152,"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":0.9865999817848206,"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/adaboost","display_name":"AdaBoost","score":0.908628523349762},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8301149010658264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8189030289649963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7736468315124512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196630835533142},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6602576971054077},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6236822009086609},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.5976108312606812},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5188411474227905},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5170950889587402},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.46842801570892334},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4520060420036316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3481712341308594}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.908628523349762},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8301149010658264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8189030289649963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7736468315124512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196630835533142},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6602576971054077},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6236822009086609},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.5976108312606812},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5188411474227905},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5170950889587402},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.46842801570892334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4520060420036316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3481712341308594}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/his.2012.6421370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2012.6421370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Hybrid Intelligent Systems (HIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1988790447","https://openalex.org/W2032210760","https://openalex.org/W2121601095","https://openalex.org/W2125277152","https://openalex.org/W2152066136","https://openalex.org/W2739698496","https://openalex.org/W3097096317"],"related_works":["https://openalex.org/W2106155895","https://openalex.org/W1970925716","https://openalex.org/W1560709653","https://openalex.org/W1575861008","https://openalex.org/W2363386497","https://openalex.org/W2391164842","https://openalex.org/W2294130405","https://openalex.org/W2063332791","https://openalex.org/W1533368116","https://openalex.org/W2968205768"],"abstract_inverted_index":{"Face":[0],"Detection":[1],"using":[2,68],"the":[3,16,20,28,41,47,50,56,61,72,81,97,113,117],"Adaboost":[4,25,82,114],"algorithm":[5],"has":[6],"been":[7],"successfully":[8],"used":[9],"to":[10,55,80],"detect":[11],"faces":[12],"in":[13,120],"images.":[14,59,74],"While":[15],"detection":[17,128],"rate":[18,31],"of":[19,32,49,71,100,122],"strong":[21,35,87],"classifier":[22,36],"trained":[23,67,95],"by":[24],"is":[26,37,84,130],"good,":[27],"false":[29],"alarm":[30],"a":[33,78,106],"single":[34,107],"very":[38],"high.":[39],"Boosting":[40],"misclassified":[42,51],"images":[43,52,102],"during":[44],"training":[45],"increases":[46],"weights":[48],"with":[53],"respect":[54],"correctly":[57],"classified":[58],"Thus":[60],"subsequent":[62],"weak":[63],"classifiers":[64,88],"are":[65,103],"effectively":[66],"decreasing":[69],"number":[70],"input":[73,101],"In":[75],"this":[76],"paper,":[77],"modification":[79],"method":[83,115,119,134],"proposed.":[85],"Multiple":[86],"based":[89],"on":[90,96],"different":[91],"Haar-like":[92],"feature":[93],"types":[94],"same":[98],"set":[99],"combined":[104],"into":[105],"modified-strong":[108],"classifier.":[109],"A":[110],"comparison":[111],"between":[112],"and":[116,126],"proposed":[118,133],"terms":[121],"face":[123,127],"non-face":[124],"classification":[125],"performance":[129],"provided.":[131],"The":[132],"demonstrates":[135],"improved":[136],"performance.":[137]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}