{"id":"https://openalex.org/W2344809356","doi":"https://doi.org/10.1109/ssiai.2016.7459203","title":"Incorporating skin color for improved face detection and tracking system","display_name":"Incorporating skin color for improved face detection and tracking system","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2344809356","doi":"https://doi.org/10.1109/ssiai.2016.7459203","mag":"2344809356"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2016.7459203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2016.7459203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","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/A5110659121","display_name":"Bishwambhar Dahal","orcid":null},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"B. Dahal","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Sydney, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011606467","display_name":"Abeer Alsadoon","orcid":"https://orcid.org/0000-0002-2309-3540"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abeer Alsadoon","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Sydney, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113513517","display_name":"P. W. C. Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"P.W.C. Prasad","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Sydney, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022601896","display_name":"Amr Elchouemi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122178","display_name":"Hewlett Packard Enterprise (United States)","ror":"https://ror.org/020x0c621","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122178"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amr Elchouemi","raw_affiliation_strings":["Hewlett Packard Enterprise"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard Enterprise","institution_ids":["https://openalex.org/I4210122178"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8052,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84767733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9911999702453613,"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":0.9911999702453613,"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":0.9836999773979187,"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":0.9805999994277954,"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":0.8693780303001404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8239953517913818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7041323184967041},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6678028106689453},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6623730063438416},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5525951385498047},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4828348755836487},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4808971881866455},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4722960293292999},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46280592679977417},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43754303455352783},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.417936235666275},{"id":"https://openalex.org/keywords/facial-motion-capture","display_name":"Facial motion capture","score":0.41585230827331543},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.41227686405181885},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4050513207912445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3989942669868469},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3933463394641876},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30757325887680054},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2105000913143158}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8693780303001404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8239953517913818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041323184967041},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6678028106689453},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6623730063438416},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5525951385498047},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4828348755836487},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4808971881866455},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4722960293292999},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46280592679977417},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43754303455352783},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.417936235666275},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.41585230827331543},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.41227686405181885},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4050513207912445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3989942669868469},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3933463394641876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30757325887680054},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2105000913143158},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssiai.2016.7459203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2016.7459203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2013962421","https://openalex.org/W2081447724","https://openalex.org/W2110933285","https://openalex.org/W2127530918","https://openalex.org/W2546705668"],"related_works":["https://openalex.org/W2910627863","https://openalex.org/W2080594779","https://openalex.org/W3101807488","https://openalex.org/W53042703","https://openalex.org/W2390289544","https://openalex.org/W2184479093","https://openalex.org/W2149860607","https://openalex.org/W2368198420","https://openalex.org/W2392859382","https://openalex.org/W2244195632"],"abstract_inverted_index":{"Face":[0],"detection":[1,17,94],"and":[2,18,33,63,73,95,104],"tracking":[3,19],"have":[4,46],"wide":[5],"applications,":[6],"for":[7,90],"example,":[8],"law":[9],"enforcement,":[10],"gaming,":[11],"image":[12,29,69,101,119],"search,":[13],"marketing,":[14],"etc.":[15],"The":[16,115],"tasks":[20],"are":[21,76],"quite":[22],"challenging.":[23],"Tracking":[24],"the":[25,35,38,42,123,129,141],"face":[26,36,52],"in":[27,53],"an":[28,100],"includes":[30],"gender":[31],"identification":[32],"segmenting":[34],"using":[37,110],"skin":[39,59,88,108,117],"color.":[40],"In":[41,97],"past,":[43],"many":[44],"methods":[45],"been":[47],"proposed":[48],"to":[49],"identify":[50],"a":[51,83,133,136],"videos,":[54],"such":[55],"as":[56],"feature-based":[57],"detection,":[58],"color":[60,89,113],"segmentation,":[61],"appearance,":[62],"eigen-based":[64],"identification.":[65],"These":[66],"techniques":[67],"use":[68],"classifiers":[70],"(both":[71],"weak":[72],"strong)":[74],"but":[75],"not":[77],"very":[78],"accurate.":[79],"This":[80],"paper":[81],"introduces":[82],"hybrid":[84],"method":[85],"that":[86],"utilizes":[87],"increasing":[91],"accuracy":[92],"of":[93,125],"tracking.":[96],"our":[98],"method,":[99],"is":[102,120],"rescaled":[103],"divided":[105,116],"based":[106],"on":[107,140],"color,":[109],"RGB":[111],"(red-green-blue)":[112],"combinations.":[114],"tone":[118],"combined":[121],"with":[122],"edges":[124],"images":[126],"before":[127],"applying":[128],"morphological":[130],"operations.":[131],"As":[132],"final":[134],"step,":[135],"bounding":[137],"box":[138],"appears":[139],"detected":[142],"face.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
