{"id":"https://openalex.org/W2036971009","doi":"https://doi.org/10.1109/icme.2014.6890334","title":"Who missed the class? — Unifying multi-face detection, tracking and recognition in videos","display_name":"Who missed the class? — Unifying multi-face detection, tracking and recognition in videos","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2036971009","doi":"https://doi.org/10.1109/icme.2014.6890334","mag":"2036971009"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2014.6890334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","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/A5067537368","display_name":"Yunxiang Mao","orcid":"https://orcid.org/0000-0003-2432-4643"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunxiang Mao","raw_affiliation_strings":["Department of Computer Science, Missouri University of Science and Technology, USA","Department of Computer Science, Missouri University of Science & Technology, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Missouri University of Science and Technology, USA","institution_ids":["https://openalex.org/I20382870"]},{"raw_affiliation_string":"Department of Computer Science, Missouri University of Science & Technology, USA#TAB#","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007603677","display_name":"Haohan Li","orcid":"https://orcid.org/0000-0002-8286-2741"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haohan Li","raw_affiliation_strings":["Department of Computer Science, Missouri University of Science and Technology, USA","Department of Computer Science, Missouri University of Science & Technology, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Missouri University of Science and Technology, USA","institution_ids":["https://openalex.org/I20382870"]},{"raw_affiliation_string":"Department of Computer Science, Missouri University of Science & Technology, USA#TAB#","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080054465","display_name":"Zhaozheng Yin","orcid":"https://orcid.org/0000-0002-9602-6488"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaozheng Yin","raw_affiliation_strings":["Department of Computer Science, Missouri University of Science and Technology, USA","Department of Computer Science, Missouri University of Science & Technology, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Missouri University of Science and Technology, USA","institution_ids":["https://openalex.org/I20382870"]},{"raw_affiliation_string":"Department of Computer Science, Missouri University of Science & Technology, USA#TAB#","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.9991999864578247,"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":0.9991999864578247,"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":0.998199999332428,"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":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8010197877883911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7603612542152405},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6489887833595276},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5882489681243896},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5440953373908997},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5276300311088562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.522566020488739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5112907886505127},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5065912008285522},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.49979639053344727},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4821183681488037},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.43941938877105713},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4225029945373535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33720993995666504},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09435707330703735}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8010197877883911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7603612542152405},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6489887833595276},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5882489681243896},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5440953373908997},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5276300311088562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.522566020488739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5112907886505127},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5065912008285522},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.49979639053344727},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4821183681488037},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.43941938877105713},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4225029945373535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33720993995666504},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09435707330703735},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/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/icme.2014.6890334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W123828018","https://openalex.org/W170773222","https://openalex.org/W1814598697","https://openalex.org/W1965122256","https://openalex.org/W1989702938","https://openalex.org/W1996939238","https://openalex.org/W2008932806","https://openalex.org/W2027805700","https://openalex.org/W2039051707","https://openalex.org/W2057898782","https://openalex.org/W2067940056","https://openalex.org/W2093242091","https://openalex.org/W2098693229","https://openalex.org/W2099537160","https://openalex.org/W2110599581","https://openalex.org/W2121027212","https://openalex.org/W2121601095","https://openalex.org/W2157092301","https://openalex.org/W2162813111","https://openalex.org/W2164598857","https://openalex.org/W2168465909","https://openalex.org/W6638661455","https://openalex.org/W6676305975","https://openalex.org/W6677900936","https://openalex.org/W6678161834","https://openalex.org/W6683142446","https://openalex.org/W6684006261"],"related_works":["https://openalex.org/W1495031412","https://openalex.org/W180653549","https://openalex.org/W1578171516","https://openalex.org/W2027962561","https://openalex.org/W2133597813","https://openalex.org/W2219974911","https://openalex.org/W2758388116","https://openalex.org/W138279625","https://openalex.org/W2075178410","https://openalex.org/W3011845801","https://openalex.org/W2596960984","https://openalex.org/W2076647582","https://openalex.org/W3020936570","https://openalex.org/W2509254659","https://openalex.org/W2248756197","https://openalex.org/W2903185397","https://openalex.org/W1486171644","https://openalex.org/W3006126324","https://openalex.org/W1585025439","https://openalex.org/W3109343169"],"abstract_inverted_index":{"We":[0,127],"investigate":[1],"the":[2,50,63,103,113,125,129],"problem":[3,88],"of":[4,23,49,73,115,148],"checking":[5],"class":[6],"attendance":[7],"by":[8,20,144],"detecting,":[9],"tracking":[10,33],"and":[11,59,110,120,135],"recognizing":[12,24,145,160],"multiple":[13,47],"student":[14],"faces":[15,37,116],"in":[16,55,66,124],"classroom":[17,137],"videos":[18],"taken":[19],"instructors.":[21],"Instead":[22],"each":[25,67,161],"individual":[26,52,162],"face":[27,42,64,77,94,99,163],"independently,":[28],"first,":[29],"we":[30,61,83],"perform":[31],"multi-object":[32],"to":[34,89,102,107],"associate":[35],"detected":[36],"(including":[38],"false":[39,92],"positives)":[40],"into":[41,69],"tracklets":[43,100,150],"(each":[44],"tracklet":[45,68],"contains":[46],"instances":[48,65],"same":[51,104],"with":[53,79,118],"variations":[54],"pose,":[56],"illumination":[57],"etc.)":[58],"then":[60],"cluster":[62],"a":[70,85,146],"small":[71],"number":[72],"clusters,":[74],"achieving":[75],"sparse":[76],"representation":[78],"less":[80],"redundancy.":[81],"Then,":[82],"formulate":[84],"unified":[86],"optimization":[87],"(a)":[90],"identify":[91],"positive":[93],"tracklets;":[95],"(b)":[96],"link":[97],"broken":[98],"belonging":[101],"person":[105],"due":[106],"long":[108],"occlusion;":[109],"(c)":[111],"recognize":[112],"group":[114,147],"simultaneously":[117,151],"spatial":[119],"temporal":[121],"context":[122],"constraints":[123],"video.":[126],"test":[128],"proposed":[130],"method":[131],"on":[132],"Honda/UCSD":[133],"database":[134],"real":[136],"scenarios.":[138],"The":[139],"high":[140],"recognition":[141,155],"performance":[142],"achieved":[143],"multi-instance":[149],"demonstrates":[152],"that":[153],"multi-face":[154],"is":[156],"more":[157],"accurate":[158],"than":[159],"independently.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}