{"id":"https://openalex.org/W2587486398","doi":"https://doi.org/10.5220/0006256003960404","title":"Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning","display_name":"Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2587486398","doi":"https://doi.org/10.5220/0006256003960404","mag":"2587486398"},"language":"en","primary_location":{"id":"doi:10.5220/0006256003960404","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006256003960404","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0006256003960404","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056635870","display_name":"Steven Puttemans","orcid":"https://orcid.org/0000-0003-3114-1941"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Steven Puttemans","raw_affiliation_strings":["KU Leuven, Belgium","KU Leuven, EAVISE Research Group, Jan Pieter De Nayerlaan 5, Sint-Katelijne-Waver, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, EAVISE Research Group, Jan Pieter De Nayerlaan 5, Sint-Katelijne-Waver, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075053222","display_name":"Erg\u00fcn Can","orcid":null},"institutions":[{"id":"https://openalex.org/I67581229","display_name":"Istanbul University","ror":"https://ror.org/03a5qrr21","country_code":"TR","type":"education","lineage":["https://openalex.org/I67581229"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Can Ergun","raw_affiliation_strings":["Istanbul University, Turkey","Istanbul University, Faculty of Economics, Beyazt, 34452 Fatih/Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul University, Turkey","institution_ids":["https://openalex.org/I67581229"]},{"raw_affiliation_string":"Istanbul University, Faculty of Economics, Beyazt, 34452 Fatih/Istanbul, Turkey","institution_ids":["https://openalex.org/I67581229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057957125","display_name":"Toon Goedem\u00e9","orcid":"https://orcid.org/0000-0002-7477-8961"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Toon Goedem\u00e9","raw_affiliation_strings":["KU Leuven, Belgium","KU Leuven, EAVISE Research Group, Jan Pieter De Nayerlaan 5, Sint-Katelijne-Waver, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"KU Leuven, EAVISE Research Group, Jan Pieter De Nayerlaan 5, Sint-Katelijne-Waver, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057957125"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61572847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"396","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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":0.9991999864578247,"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/T10828","display_name":"Biometric Identification and Security","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8418650031089783},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.7907316088676453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7642585039138794},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.761384129524231},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6647643446922302},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.630693793296814},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5469399690628052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5304405689239502},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5105136632919312},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4882185757160187},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.4711400866508484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46903643012046814},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4534114599227905},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4427383840084076},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.4324828088283539},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.42796581983566284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3703928589820862},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.09050735831260681},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06347036361694336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8418650031089783},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.7907316088676453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7642585039138794},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.761384129524231},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6647643446922302},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.630693793296814},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5469399690628052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5304405689239502},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5105136632919312},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4882185757160187},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.4711400866508484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46903643012046814},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4534114599227905},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4427383840084076},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.4324828088283539},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.42796581983566284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3703928589820862},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.09050735831260681},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06347036361694336},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/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/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0006256003960404","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006256003960404","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/560283","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/560283","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"VISAPP, Porto, Portugal, 5 January 2017","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.5220/0006256003960404","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006256003960404","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W182571476","https://openalex.org/W1849007038","https://openalex.org/W2019464758","https://openalex.org/W2129763352","https://openalex.org/W2142704643","https://openalex.org/W2145073242","https://openalex.org/W2164598857","https://openalex.org/W2340124211","https://openalex.org/W2344758710","https://openalex.org/W2345987525","https://openalex.org/W2406745073","https://openalex.org/W2417750831","https://openalex.org/W2474608001","https://openalex.org/W2530179772","https://openalex.org/W2964095005","https://openalex.org/W3101998545"],"related_works":["https://openalex.org/W1560709653","https://openalex.org/W3135341440","https://openalex.org/W2903682969","https://openalex.org/W2585703169","https://openalex.org/W2080594779","https://openalex.org/W2969525084","https://openalex.org/W2096042813","https://openalex.org/W4385636413","https://openalex.org/W2765813512","https://openalex.org/W3014992915"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,11,133],"computer":[3,29],"vision":[4,30],"have":[5,34],"almost":[6],"solved":[7],"the":[8,12,24,38,56,66,86,100,114,130,134,139,145,148,170],"problem":[9],"of":[10,68,90,107,132],"wild":[13,135],"face":[14,53,72,136,155,166],"detection,":[15,54],"using":[16],"complex":[17,42],"techniques":[18,43],"like":[19,32,55,78,200],"convolutional":[20],"neural":[21],"networks.":[22],"On":[23],"contrary":[25],"many":[26],"open":[27,70],"source":[28,71],"frameworks":[31],"OpenCV":[33,171],"not":[35],"yet":[36],"made":[37],"switch":[39],"to":[40,46,85,99,162,169],"these":[41,69],"and":[44,63,118,121],"tend":[45],"depend":[47],"on":[48,75,138],"well":[49],"established":[50],"algorithms":[51],"for":[52,196],"cascade":[57,104],"classification":[58,105],"pipeline":[59,106],"suggested":[60],"by":[61,112,122,152],"Viola":[62],"Jones.":[64],"However":[65],"accuracy":[67,131,149],"detection":[73,137,167],"models":[74],"public":[76],"datasets":[77],"FDDB":[79,140],"stays":[80],"rather":[81],"low,":[82],"mainly":[83],"due":[84],"relatively":[87],"high":[88,176],"number":[89],"false":[91],"positive":[92],"detections":[93],"produced.":[94],"We":[95],"propose":[96],"several":[97],"adaptations":[98],"current":[101],"existing":[102],"LBP/AdaBoost":[103],"OpenCV.":[108],"This":[109,128],"is":[110],"done":[111],"improving":[113],"training":[115],"sample":[116],"generation":[117],"annotation":[119],"procedure,":[120],"applying":[123],"an":[124,179],"active":[125],"learning":[126],"strategy.":[127],"boosts":[129],"dataset":[141],"quite":[142],"drastically,":[143],"closing":[144],"gap":[146],"towards":[147],"levels":[150],"gained":[151],"state-of-the-art":[153],"CNN-based":[154],"detectors.":[156],"The":[157],"proposed":[158],"changes":[159],"allow":[160],"us":[161],"provide":[163],"a":[164,174,184,193],"new":[165],"model":[168,185],"framework,":[172],"achieving":[173],"remarkably":[175],"precision":[177],"at":[178],"acceptable":[180],"recall":[181],"rate,":[182],"offering":[183],"that":[186],"ensures":[187],"detected":[188],"faces":[189],"are":[190],"actually":[191],"faces,":[192],"critical":[194],"requirement":[195],"further":[197],"processing":[198],"pipelines":[199],"person":[201],"identification,":[202],"etc.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
