{"id":"https://openalex.org/W2051978853","doi":"https://doi.org/10.1109/icarcv.2014.7064310","title":"Soft-biometric detection based on supervised learning","display_name":"Soft-biometric detection based on supervised learning","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2051978853","doi":"https://doi.org/10.1109/icarcv.2014.7064310","mag":"2051978853"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2014.7064310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","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/A5100760222","display_name":"Zhi Zhou","orcid":"https://orcid.org/0000-0002-9142-8146"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zhi Zhou","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore","[School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"[School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore]","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055272409","display_name":"Glen Hong Ting Ong","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Glen Hong Ting Ong","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore, SG","[School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore]"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore, SG","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"[School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore]","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111481271","display_name":"Earn Khwang Teoh","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Earn Khwang Teoh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore","[School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore]"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"[School of Electrical and Electronic Engineering, Nanyang Technological University Singapore, Singapore]","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100760222"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.11730318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"234","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9993000030517578,"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/T10057","display_name":"Face and Expression Recognition","score":0.9945999979972839,"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":0.9824000000953674,"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/biometrics","display_name":"Biometrics","score":0.7928307056427002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7884657979011536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7629479169845581},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6766179800033569},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6107053756713867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5903675556182861},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5835635662078857},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5835549831390381},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.535082995891571},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5031720995903015},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44108256697654724},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.43086469173431396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4192150831222534},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1320914328098297}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7928307056427002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7884657979011536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7629479169845581},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6766179800033569},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6107053756713867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5903675556182861},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5835635662078857},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5835549831390381},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.535082995891571},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5031720995903015},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44108256697654724},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.43086469173431396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4192150831222534},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1320914328098297},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2014.7064310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2014.7064310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 13th International Conference on Control Automation Robotics & Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W25655116","https://openalex.org/W148299778","https://openalex.org/W1518138188","https://openalex.org/W1532970499","https://openalex.org/W1545140005","https://openalex.org/W1586136176","https://openalex.org/W1967988963","https://openalex.org/W1979260620","https://openalex.org/W1983811091","https://openalex.org/W1989730063","https://openalex.org/W1997011019","https://openalex.org/W2000694890","https://openalex.org/W2062368515","https://openalex.org/W2063566441","https://openalex.org/W2081627106","https://openalex.org/W2089074647","https://openalex.org/W2089833453","https://openalex.org/W2096306138","https://openalex.org/W2098807270","https://openalex.org/W2102497689","https://openalex.org/W2107475454","https://openalex.org/W2108339842","https://openalex.org/W2111072639","https://openalex.org/W2114147878","https://openalex.org/W2118420726","https://openalex.org/W2118643916","https://openalex.org/W2119821739","https://openalex.org/W2131255818","https://openalex.org/W2139763424","https://openalex.org/W2141265371","https://openalex.org/W2149167202","https://openalex.org/W2172246201","https://openalex.org/W2237515533","https://openalex.org/W4239510810","https://openalex.org/W4249742257","https://openalex.org/W6606043840","https://openalex.org/W6631178364","https://openalex.org/W6631755788","https://openalex.org/W6646244922","https://openalex.org/W6647828439","https://openalex.org/W6666058208","https://openalex.org/W6672909312","https://openalex.org/W6676155344","https://openalex.org/W6679312812"],"related_works":["https://openalex.org/W1586607209","https://openalex.org/W122912556","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2328989934","https://openalex.org/W2348322200","https://openalex.org/W2981952041","https://openalex.org/W3148060700"],"abstract_inverted_index":{"In":[0,43],"the":[1,20,35,49,57],"past":[2],"5":[3],"years,":[4],"people":[5,24],"re-identification":[6],"has":[7],"been":[8],"a":[9],"popular":[10],"topic":[11],"as":[12,106],"an":[13],"application":[14],"using":[15],"computer":[16],"vision":[17],"techniques.":[18],"Among":[19],"models":[21,29],"used":[22,80],"for":[23,81],"re-identification,":[25],"soft-biometric":[26,61],"traits":[27],"based":[28,54],"have":[30],"great":[31],"potential":[32],"due":[33],"to":[34],"semantic":[36],"meaning":[37],"and":[38,65,72,79,92,99,117,121],"robust":[39],"performance":[40,50],"they":[41],"have.":[42],"this":[44],"paper,":[45],"we":[46],"will":[47],"exploit":[48],"of":[51,59],"supervised":[52,84],"learning":[53,85],"method":[55],"on":[56,112],"detection":[58],"three":[60],"traits:":[62],"Glasses,":[63],"Cap":[64],"Clothes":[66],"Pattern.":[67],"Simple":[68],"features":[69],"like":[70],"edge":[71],"frequency":[73],"are":[74,97,104,109],"extracted":[75],"from":[76,114],"sample":[77],"images":[78,113,118],"learning.":[82],"Two":[83],"methods":[86,103],"\u2014":[87],"Support":[88],"Vector":[89],"Machine":[90,95],"(SVM)":[91],"Extreme":[93],"Learning":[94],"(ELM)":[96],"employed":[98],"compared.":[100],"Different":[101],"normalization":[102],"compared":[105],"well.":[107],"Experiments":[108],"carried":[110],"out":[111],"FERET":[115],"dataset":[116],"collected":[119],"online,":[120],"discussion":[122],"is":[123],"provided.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}