{"id":"https://openalex.org/W1559412043","doi":"https://doi.org/10.1109/icip.2003.1247422","title":"A human skin detector combining mean shift analysis and watershed algorithm","display_name":"A human skin detector combining mean shift analysis and watershed algorithm","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1559412043","doi":"https://doi.org/10.1109/icip.2003.1247422","mag":"1559412043"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1247422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","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/A5085149424","display_name":"Camille Laurent","orcid":"https://orcid.org/0000-0002-5375-7512"},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"C. Laurent","raw_affiliation_strings":["France Telecom R&D Beijing, Cesson-Sevigne, France","France Telecom R&D, Cesson-Sevigne, France#TAB#"],"affiliations":[{"raw_affiliation_string":"France Telecom R&D Beijing, Cesson-Sevigne, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Cesson-Sevigne, France#TAB#","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090470944","display_name":"Nathalie Laurent","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Laurent","raw_affiliation_strings":["France Telecom R&D Beijing, Cesson-Sevigne, France","France Telecom R&D, Cesson-Sevigne, France#TAB#"],"affiliations":[{"raw_affiliation_string":"France Telecom R&D Beijing, Cesson-Sevigne, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Cesson-Sevigne, France#TAB#","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078782328","display_name":"Y. Bodo","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Y. Bodo","raw_affiliation_strings":["France Telecom R&D Beijing, Cesson-Sevigne, France","France Telecom R&D, Cesson-Sevigne, France#TAB#"],"affiliations":[{"raw_affiliation_string":"France Telecom R&D Beijing, Cesson-Sevigne, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, Cesson-Sevigne, France#TAB#","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085149424"],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.06782961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"III","last_page":"1025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9918000102043152,"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":0.9918000102043152,"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":0.9855999946594238,"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/T11019","display_name":"Image Enhancement Techniques","score":0.958299994468689,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7499970197677612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901340484619141},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6722965836524963},{"id":"https://openalex.org/keywords/skin-color","display_name":"Skin color","score":0.6339831352233887},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.620014488697052},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.574824869632721},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5666085481643677},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5617259740829468},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.5571519732475281},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5413976907730103},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5170271992683411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4541643261909485},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31377121806144714},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.16863900423049927}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7499970197677612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901340484619141},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6722965836524963},{"id":"https://openalex.org/C3019497199","wikidata":"https://www.wikidata.org/wiki/Q853516","display_name":"Skin color","level":2,"score":0.6339831352233887},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.620014488697052},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.574824869632721},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5666085481643677},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5617259740829468},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.5571519732475281},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5413976907730103},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5170271992683411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4541643261909485},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31377121806144714},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.16863900423049927},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2003.1247422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1247422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1566856090","https://openalex.org/W1587328194","https://openalex.org/W1867463325","https://openalex.org/W2009907735","https://openalex.org/W2022686119","https://openalex.org/W2067191022","https://openalex.org/W2121601095","https://openalex.org/W2126178892","https://openalex.org/W2153493250","https://openalex.org/W2153746365","https://openalex.org/W2167077256","https://openalex.org/W2170003605","https://openalex.org/W2170128208","https://openalex.org/W2752885492","https://openalex.org/W4246219036","https://openalex.org/W4251431888","https://openalex.org/W4252770108","https://openalex.org/W6633873098","https://openalex.org/W6635131150","https://openalex.org/W6834523812","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2327601824","https://openalex.org/W2161102362","https://openalex.org/W2106833984","https://openalex.org/W2020103936","https://openalex.org/W2365682908"],"abstract_inverted_index":{"Detecting":[0],"human":[1],"skin":[2,39,85,95,117],"in":[3,33,50,57,76],"color":[4,36,40],"images":[5],"is":[6,69],"an":[7],"interesting":[8],"problem":[9],"due":[10],"to":[11,22,71,92,103],"the":[12,23,46,51,72,90,94,110,114],"potential":[13],"number":[14],"of":[15,25,53,116],"target":[16],"applications":[17],"ranging":[18],"from":[19],"face":[20],"detection":[21,24],"pornographic":[26],"images.":[27],"Many":[28],"approaches":[29],"have":[30],"been":[31],"proposed":[32],"literature":[34],"including":[35],"thresholding,":[37],"statistical":[38],"modeling":[41],"and":[42],"segmentation-based":[43],"techniques.":[44],"However,":[45],"performances":[47],"often":[48],"decrease":[49],"presence":[52],"illumination":[54,77,107],"artifacts":[55],"resulting":[56],"sub-optimal":[58],"results.":[59],"In":[60],"this":[61,80],"paper,":[62],"we":[63,82],"propose":[64],"a":[65],"new":[66],"method":[67],"that":[68,87],"adaptive":[70],"image":[73],"content":[74],"especially":[75],"conditions.":[78],"For":[79],"purpose,":[81],"first":[83],"detect":[84],"seeds":[86],"serve":[88],"as":[89],"basis":[91],"locate":[93],"colors":[96],"with":[97],"highest":[98],"density.":[99],"This":[100],"step":[101],"allows":[102],"take":[104],"into":[105],"account":[106],"conditions":[108],"for":[109],"last":[111],"step,":[112],"namely":[113],"growing":[115],"seeds.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
