{"id":"https://openalex.org/W2070007598","doi":"https://doi.org/10.1109/icmew.2013.6618239","title":"Human hand detection using robust local descriptors","display_name":"Human hand detection using robust local descriptors","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2070007598","doi":"https://doi.org/10.1109/icmew.2013.6618239","mag":"2070007598"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2013.6618239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2013.6618239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","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/A5078474592","display_name":"Jianwei Niu","orcid":"https://orcid.org/0000-0002-7944-1276"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Niu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101533526","display_name":"Xiaoke Zhao","orcid":"https://orcid.org/0000-0002-2358-8092"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoke Zhao","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021038693","display_name":"Muhammad Ali Abdul Aziz","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muhammad Ali Abdul Aziz","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057973097","display_name":"Jiangwei Li","orcid":"https://orcid.org/0000-0002-8916-9042"},"institutions":[{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangwei Li","raw_affiliation_strings":["Nokia Research Center, Beijing, China","Nokia Research Center Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Research Center, Beijing, China","institution_ids":["https://openalex.org/I4210099903"]},{"raw_affiliation_string":"Nokia Research Center Beijing, China","institution_ids":["https://openalex.org/I4210099903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012311011","display_name":"Kongqiao Wang","orcid":"https://orcid.org/0000-0002-2214-5062"},"institutions":[{"id":"https://openalex.org/I4210099903","display_name":"Nokia (China)","ror":"https://ror.org/01607kg94","country_code":"CN","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210099903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kongqiao Wang","raw_affiliation_strings":["Nokia Research Center, Beijing, China","Nokia Research Center Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nokia Research Center, Beijing, China","institution_ids":["https://openalex.org/I4210099903"]},{"raw_affiliation_string":"Nokia Research Center Beijing, China","institution_ids":["https://openalex.org/I4210099903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035153076","display_name":"Aimin Hao","orcid":"https://orcid.org/0000-0002-5774-6706"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Hao","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"[State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China]","institution_ids":["https://openalex.org/I82880672"]}]}],"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":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.993399977684021,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.813938319683075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8132230639457703},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.8087244033813477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.720179557800293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6847679615020752},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6244257092475891},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5949087142944336},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5825109481811523},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5473950505256653},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.5207874178886414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49725106358528137},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4399242699146271},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22526061534881592}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.813938319683075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8132230639457703},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.8087244033813477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.720179557800293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847679615020752},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6244257092475891},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5949087142944336},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5825109481811523},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5473950505256653},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5207874178886414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49725106358528137},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4399242699146271},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22526061534881592},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew.2013.6618239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2013.6618239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1979860865","https://openalex.org/W1999268518","https://openalex.org/W2039051707","https://openalex.org/W2096112371","https://openalex.org/W2106291868","https://openalex.org/W2109943925","https://openalex.org/W2121102817","https://openalex.org/W2128388041","https://openalex.org/W2130462770","https://openalex.org/W2131081720","https://openalex.org/W2134380836","https://openalex.org/W2143046414","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2164416728","https://openalex.org/W2534262995","https://openalex.org/W2548197316","https://openalex.org/W3149066084","https://openalex.org/W6674636832","https://openalex.org/W6678163432","https://openalex.org/W6679102414","https://openalex.org/W6684492130"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2058306460","https://openalex.org/W2955952267","https://openalex.org/W2083564146","https://openalex.org/W2076436625","https://openalex.org/W2148428954","https://openalex.org/W1589677080","https://openalex.org/W2049095871"],"abstract_inverted_index":{"To":[0,40],"date,":[1],"human":[2],"hand":[3,17,125],"detection":[4,118],"in":[5,104],"images":[6,126],"remains":[7],"a":[8],"challenging":[9],"task":[10],"due":[11],"to":[12],"the":[13,42,78,82,85],"variable":[14],"lighting":[15],"conditions,":[16],"appearances":[18],"and":[19,67,84,95,107,129],"background":[20],"noise.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25,44],"present":[26],"an":[27],"effective":[28],"strategy":[29],"based":[30,113],"on":[31,120],"feature":[32,114],"fusion":[33],"for":[34],"detecting":[35],"hands":[36],"with":[37,101,127],"cluttered":[38],"surroundings.":[39],"form":[41],"fusions,":[43],"propose":[45],"three":[46],"novel":[47,99],"noise":[48],"invariant":[49],"features,":[50],"namely:":[51],"1)":[52],"NCHOG":[53,83],"(Noise":[54,62],"Compensated":[55,63],"Histogram":[56],"of":[57,71,73,81,124],"Oriented":[58],"Gradients),":[59],"2)":[60],"NCLBP":[61,86],"Local":[64],"Binary":[65],"Patterns),":[66],"3)":[68],"HPCP":[69],"(Histograms":[70],"Pairs":[72],"Circumference":[74],"Pixels).":[75],"We":[76],"show":[77],"superior":[79],"performance":[80],"descriptors":[87],"over":[88],"their":[89],"existing":[90,102],"traditional":[91],"counterparts,":[92],"i.e.,":[93],"HOG":[94],"LBP.":[96],"Merging":[97],"our":[98,121],"features":[100,103],"different":[105],"permutations,":[106],"applying":[108],"Partial":[109],"Least":[110],"Squares":[111],"(PLS)":[112],"weighting,":[115],"yields":[116],"excellent":[117],"results":[119],"own":[122],"dataset":[123],"variegated":[128],"complex":[130],"backgrounds.":[131]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
