{"id":"https://openalex.org/W2510774225","doi":"https://doi.org/10.1109/icme.2016.7552914","title":"Robust online face tracking-by-detection","display_name":"Robust online face tracking-by-detection","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2510774225","doi":"https://doi.org/10.1109/icme.2016.7552914","mag":"2510774225"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5012962405","display_name":"Francesco Comaschi","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Francesco Comaschi","raw_affiliation_strings":["Eindhoven University of Technology, Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032436846","display_name":"Sander Stuijk","orcid":"https://orcid.org/0000-0002-2518-6847"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Sander Stuijk","raw_affiliation_strings":["Eindhoven University of Technology, Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026760188","display_name":"Twan Basten","orcid":"https://orcid.org/0000-0002-2274-7274"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Twan Basten","raw_affiliation_strings":["Eindhoven University of Technology, Netherlands","TNO Embedded Systems Innovation, Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"TNO Embedded Systems Innovation, Netherlands","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081768631","display_name":"Henk Corporaal","orcid":"https://orcid.org/0000-0003-4506-5732"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Henk Corporaal","raw_affiliation_strings":["Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012962405"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.5068,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72694329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"36","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9890000224113464,"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":0.7636672854423523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7505570650100708},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.6499620676040649},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.644313633441925},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6283817887306213},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6133288145065308},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49583443999290466},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4845241904258728},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4734109342098236},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45971229672431946},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4430287480354309},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4339444637298584},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4115985929965973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3673015236854553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7636672854423523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7505570650100708},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.6499620676040649},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.644313633441925},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6283817887306213},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6133288145065308},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49583443999290466},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4845241904258728},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4734109342098236},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45971229672431946},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4430287480354309},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4339444637298584},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4115985929965973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3673015236854553},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icme.2016.7552914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:oai-pmh.tno.nl:43928","is_oa":false,"landing_page_url":"https://resolver.tno.nl/uuid:c5dc53b4-56f7-4452-aacf-6e7d0b18f206","pdf_url":null,"source":{"id":"https://openalex.org/S7407055233","display_name":"TNO Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"info:eu-repo/semantics/conferencePaper"},{"id":"pmh:oai:tudelft.nl:uuid:c5dc53b4-56f7-4452-aacf-6e7d0b18f206","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:c5dc53b4-56f7-4452-aacf-6e7d0b18f206","pdf_url":null,"source":{"id":"https://openalex.org/S4306402238","display_name":"Repository hosted by TU Delft Library (TU Delft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo, ICME 2016, 11 July 2016 through 15 July 2016","raw_type":"article"},{"id":"pmh:tue:oai:pure.tue.nl:publications/3342b39c-87e3-4a3a-b99b-9d7cdffb977f","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/3342b39c-87e3-4a3a-b99b-9d7cdffb977f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W1625611240","https://openalex.org/W2000326692","https://openalex.org/W2016075127","https://openalex.org/W2016309246","https://openalex.org/W2023640470","https://openalex.org/W2034276366","https://openalex.org/W2047508432","https://openalex.org/W2060814785","https://openalex.org/W2074143295","https://openalex.org/W2075178410","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2124211486","https://openalex.org/W2126302311","https://openalex.org/W2150090564","https://openalex.org/W2151802865","https://openalex.org/W2158592639","https://openalex.org/W2162383208","https://openalex.org/W2171251208","https://openalex.org/W2186330282","https://openalex.org/W2915935370","https://openalex.org/W3097096317","https://openalex.org/W6662335928","https://openalex.org/W6665839387","https://openalex.org/W6669300485","https://openalex.org/W6679027886","https://openalex.org/W6683886257"],"related_works":["https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W3183843611","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W2075816643","https://openalex.org/W4253104819","https://openalex.org/W4312081214","https://openalex.org/W53042703"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,69,113],"online":[3,18,70,73],"face":[4,46,84,97,115],"tracking":[5,35,126],"from":[6,14,47],"unconstrained":[7,48],"videos":[8],"is":[9,51,78,99],"still":[10],"unresolved.":[11],"Challenges":[12],"range":[13],"coping":[15,22],"with":[16,23,80],"severe":[17],"appearance":[19],"variations":[20],"to":[21,42,86,109],"occlusion.":[24],"We":[25],"propose":[26],"RFTD":[27,50,122],"(Robust":[28],"Face":[29],"Tracking-by-Detection),":[30],"a":[31,39,45,102],"system":[32],"which":[33],"combines":[34],"and":[36,58,136],"detection":[37,116],"into":[38],"single":[40],"framework":[41],"robustly":[43],"track":[44],"videos.":[49,142],"based":[52],"on":[53],"the":[54,67,88,96,111,114],"idea":[55],"that":[56,121],"adaptive":[57],"stable":[59],"algorithmic":[60],"components":[61],"can":[62],"complement":[63],"each":[64],"other":[65],"in":[66,92],"task":[68],"tracking.":[71,93],"An":[72],"Structured":[74],"Output":[75],"SVM":[76],"(SO-SVM)":[77],"combined":[79],"an":[81],"offline":[82],"trained":[83],"detector":[85,98,108],"break":[87],"self-learning":[89],"loop":[90],"typical":[91],"In":[94],"turn,":[95],"supervised":[100],"by":[101],"Deformable":[103],"Part":[104],"Model":[105],"(DPM)":[106],"landmark":[107],"asses":[110],"reliability":[112],"output.":[117],"Extensive":[118],"evaluation":[119],"shows":[120],"delivers":[123],"consistently":[124],"good":[125],"performances":[127],"across":[128,140],"different":[129],"scenarios,":[130],"i.e.,":[131],"high":[132],"mean":[133],"success":[134],"rate":[135],"lowest":[137],"standard":[138],"deviation":[139],"benchmark":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}