{"id":"https://openalex.org/W1987914553","doi":"https://doi.org/10.1109/avss.2014.6918665","title":"Maximizing face recognition performance for video data under time constraints by using a cascade","display_name":"Maximizing face recognition performance for video data under time constraints by using a cascade","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W1987914553","doi":"https://doi.org/10.1109/avss.2014.6918665","mag":"1987914553"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2014.6918665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2014.6918665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publica.fraunhofer.de/documents/N-333077.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073850637","display_name":"Christian Herrmann","orcid":"https://orcid.org/0000-0003-4190-2361"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Herrmann","raw_affiliation_strings":["Vision and Fusion Lab Karlsruhe Institute of Technology KIT Adenauerring 4, 76131 Karlsruhe, Germany","Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vision and Fusion Lab Karlsruhe Institute of Technology KIT Adenauerring 4, 76131 Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Karlsruhe, Germany","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073930300","display_name":"J\u00fcrgen Beyerer","orcid":"https://orcid.org/0000-0003-3556-7181"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]},{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jurgen Beyerer","raw_affiliation_strings":["Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB Fraunhoferstrasse 1,76131Karlsruhe, Germany","Vision and Fusion Lab Karlsruhe Institute of Technology KIT, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB Fraunhoferstrasse 1,76131Karlsruhe, Germany","institution_ids":["https://openalex.org/I4210111500"]},{"raw_affiliation_string":"Vision and Fusion Lab Karlsruhe Institute of Technology KIT, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1798,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39881308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"181","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9983000159263611,"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/cascade","display_name":"Cascade","score":0.8258131742477417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8122944831848145},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.743360161781311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6716325283050537},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6279053092002869},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5788983106613159},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5466766953468323},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5434976816177368},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5107624530792236},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4764849841594696},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.445348858833313},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4130396544933319},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32550737261772156},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0715322196483612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06414872407913208}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.8258131742477417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122944831848145},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.743360161781311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6716325283050537},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6279053092002869},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5788983106613159},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5466766953468323},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5434976816177368},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5107624530792236},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4764849841594696},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.445348858833313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4130396544933319},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32550737261772156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0715322196483612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06414872407913208},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/avss.2014.6918665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2014.6918665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-333077","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-333077.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/386998","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/386998","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:fraunhofer.de:N-333077","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-333077.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IOSB","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1514503772","https://openalex.org/W1556074820","https://openalex.org/W1820849028","https://openalex.org/W1854859904","https://openalex.org/W1909591079","https://openalex.org/W1984735388","https://openalex.org/W1996765463","https://openalex.org/W2024688311","https://openalex.org/W2047508432","https://openalex.org/W2113309238","https://openalex.org/W2121647436","https://openalex.org/W2134849720","https://openalex.org/W2138451337","https://openalex.org/W2139927044","https://openalex.org/W2163808566","https://openalex.org/W2164598857","https://openalex.org/W2544874028","https://openalex.org/W6633171750","https://openalex.org/W6662335928","https://openalex.org/W6680266532"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W2060986072","https://openalex.org/W1566155057","https://openalex.org/W2052574922","https://openalex.org/W2065045110","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2098693229","https://openalex.org/W2384651879"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,27,33,63,104],"cascade":[4,102],"of":[5,38,54,65,100,140],"video":[6,55],"face":[7,67,162],"recognition":[8,13,24,40,68,78,98,121,151,163],"methods":[9,69],"which":[10,74],"maximizes":[11,96],"the":[12,22,39,48,72,76,87,97,101,129,132,138,141,150,160],"performance":[14,41,79,99,152],"within":[15,103],"given":[17,105],"time":[18,44,106,154],"limit.":[19,107],"Traditionally,":[20],"choosing":[21],"appropriate":[23],"method":[25],"for":[26,51,119],"specific":[28,147],"person":[29],"identification":[30],"scenario":[31],"is":[32,45,93,110,155],"difficult":[34],"task.":[35],"The":[36],"maximization":[37],"under":[42],"restricted":[43],"seen":[46],"as":[47],"main":[49],"problem":[50],"increasing":[52],"sizes":[53],"data.":[56],"To":[57],"address":[58],"this,":[59],"we":[60],"first":[61],"evaluate":[62],"set":[64],"common":[66],"and":[70,131,149],"identify":[71],"ones":[73],"show":[75],"best":[77],"per":[80,153],"time.":[81],"Then,":[82],"they":[83],"are":[84],"combined":[85],"in":[86,134,157],"proposed":[88,142],"cascade.":[89,143],"An":[90],"optimization":[91],"strategy":[92],"presented,":[94],"that":[95],"Especially,":[108],"this":[109],"no":[111],"fixed":[112],"limit,":[113],"instead":[114],"it":[115],"can":[116],"be":[117],"assigned":[118],"each":[120],"task":[122],"individually.":[123],"A":[124],"cross":[125],"dataset":[126],"evaluation":[127],"on":[128],"Honda/UCSD":[130],"Face":[133],"Action":[135],"datasets":[136],"shows":[137],"benefits":[139],"It":[144],"allows":[145],"situation":[146],"configuration":[148],"improved":[156],"comparison":[158],"to":[159],"underlying":[161],"methods.":[164]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
