{"id":"https://openalex.org/W3116541178","doi":"https://doi.org/10.1109/ivcnz51579.2020.9290654","title":"Fast Portrait Segmentation of the Head and Upper Body","display_name":"Fast Portrait Segmentation of the Head and Upper Body","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3116541178","doi":"https://doi.org/10.1109/ivcnz51579.2020.9290654","mag":"3116541178"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz51579.2020.9290654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz51579.2020.9290654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5005067617","display_name":"Seng Cheong Loke","orcid":"https://orcid.org/0000-0003-1967-1501"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Seng Cheong Loke","raw_affiliation_strings":["Faculty of Medicine, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Medicine, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065146109","display_name":"Bruce A. MacDonald","orcid":"https://orcid.org/0000-0001-7602-8497"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Bruce A. MacDonald","raw_affiliation_strings":["Faculty of Engineering, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035513129","display_name":"Matthew Parsons","orcid":"https://orcid.org/0000-0003-2004-1347"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Matthew Parsons","raw_affiliation_strings":["University of Waikato, Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waikato, Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108818069","display_name":"Burkhard C. W\u00fcnsche","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Burkhard C. Wunsche","raw_affiliation_strings":["Faculty of Science, University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"6"},"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11322","display_name":"Facial Rejuvenation and Surgery Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7989582419395447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7889841794967651},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7759138941764832},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5395374298095703},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5348148941993713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5323928594589233},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5038396716117859},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4183875322341919},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4182262718677521},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41430631279945374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3912571668624878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989582419395447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7889841794967651},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7759138941764832},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5395374298095703},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5348148941993713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5323928594589233},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5038396716117859},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4183875322341919},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4182262718677521},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41430631279945374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3912571668624878},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivcnz51579.2020.9290654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz51579.2020.9290654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchspace.auckland.ac.nz:2292/54358","is_oa":false,"landing_page_url":"https://hdl.handle.net/2292/54358","pdf_url":null,"source":{"id":"https://openalex.org/S7407055463","display_name":"ResearchSpace (University of Auckland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I154130895","host_organization_name":"University of Auckland","host_organization_lineage":["https://openalex.org/I154130895"],"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 Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1585431621","https://openalex.org/W1903029394","https://openalex.org/W1988061476","https://openalex.org/W2071860582","https://openalex.org/W2097649661","https://openalex.org/W2136378950","https://openalex.org/W2395639500","https://openalex.org/W2784199143","https://openalex.org/W2792186553","https://openalex.org/W2807126412","https://openalex.org/W2982437619","https://openalex.org/W3010290049","https://openalex.org/W3038006402","https://openalex.org/W3083109919","https://openalex.org/W3113117508","https://openalex.org/W3164389732","https://openalex.org/W6634966438","https://openalex.org/W6774015895","https://openalex.org/W6787368857","https://openalex.org/W6796140667"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2084086966","https://openalex.org/W2611989081","https://openalex.org/W2023861399","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2730915376","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Portrait":[0],"segmentation":[1,71,113],"is":[2,14,26],"the":[3,6,17,87],"process":[4],"whereby":[5],"head":[7],"and":[8,47,89,126,131,139,161,168,171,190],"upper":[9],"body":[10],"of":[11,19,69,91,115,129],"a":[12,57,66,96,101,105,112,119],"person":[13],"separated":[15],"from":[16],"background":[18],"an":[20],"image":[21],"or":[22,55],"video":[23,121],"stream.":[24],"This":[25],"difficult":[27],"to":[28,60],"achieve":[29,184],"accurately,":[30],"although":[31],"good":[32],"results":[33],"have":[34],"been":[35],"obtained":[36],"with":[37,44,80,123,137,158,187],"deep":[38,92,146],"learning":[39,93,147],"methods":[40,94],"which":[41,74],"cope":[42],"well":[43],"occlusion,":[45],"pose":[46],"illumination":[48],"changes.":[49],"These":[50],"are":[51],"however,":[52],"either":[53],"slow":[54],"require":[56],"powerful":[58],"system":[59],"operate":[61],"in":[62],"real-time.":[63],"We":[64],"present":[65],"new":[67],"method":[68,110,154],"portrait":[70],"called":[72],"FaceSeg":[73,182],"uses":[75],"fast":[76],"DBSCAN":[77],"clustering":[78],"combined":[79],"smart":[81],"face":[82],"tracking":[83],"that":[84],"can":[85,183],"replicate":[86],"benefits":[88],"accuracy":[90,125,160,170,189],"at":[95],"much":[97],"faster":[98],"speed.":[99],"In":[100],"direct":[102],"comparison":[103],"using":[104],"standard":[106],"testing":[107],"suite,":[108],"our":[109],"achieved":[111,155],"speed":[114],"150":[116],"fps":[117,157,186],"for":[118,181],"640x480":[120],"stream":[122],"median":[124],"F1":[127,163,173,192],"scores":[128],"99.96%":[130],"99.93%":[132],"respectively":[133],"on":[134,141,165,175,194],"simple":[135,166],"backgrounds,":[136,167],"98.81%":[138],"98.13%":[140],"complex":[142,176,195],"backgrounds.":[143,177,196],"The":[144],"state-of-art":[145],"based":[148],"FastPortrait":[149],"/":[150],"Mobile":[151],"Neural":[152],"Network":[153],"15":[156],"99.95%":[159],"99.91%":[162],"score":[164,174,193],"99.01%":[169],"98.43":[172],"An":[178],"efficacy-boosted":[179],"implementation":[180],"75":[185],"99.23%":[188],"98.79%":[191]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}