{"id":"https://openalex.org/W1998077966","doi":"https://doi.org/10.1186/1687-5281-2013-1","title":"Robust gait-based gender classification using depth cameras","display_name":"Robust gait-based gender classification using depth cameras","publication_year":2013,"publication_date":"2013-01-02","ids":{"openalex":"https://openalex.org/W1998077966","doi":"https://doi.org/10.1186/1687-5281-2013-1","mag":"1998077966"},"language":"en","primary_location":{"id":"doi:10.1186/1687-5281-2013-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-1","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-1","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067001353","display_name":"Laura Igual","orcid":"https://orcid.org/0000-0002-7225-7441"},"institutions":[{"id":"https://openalex.org/I4210122226","display_name":"Centre de Recerca Matem\u00e0tica","ror":"https://ror.org/020s51w82","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210122226","https://openalex.org/I4387153040"]},{"id":"https://openalex.org/I4387153096","display_name":"Computer Vision Center","ror":"https://ror.org/00s0nnj93","country_code":null,"type":"other","lineage":["https://openalex.org/I4387153040","https://openalex.org/I4387153096"]},{"id":"https://openalex.org/I71999127","display_name":"Universitat de Barcelona","ror":"https://ror.org/021018s57","country_code":"ES","type":"education","lineage":["https://openalex.org/I71999127"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Laura Igual","raw_affiliation_strings":["Computer Vision Center, O Building, UAB Campus, 08193, Bellaterra, Barcelona, Spain","Department of Apply Mathematics and Analysis, Universitat de Barcelona, 08007, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center, O Building, UAB Campus, 08193, Bellaterra, Barcelona, Spain","institution_ids":["https://openalex.org/I4210122226","https://openalex.org/I4387153096"]},{"raw_affiliation_string":"Department of Apply Mathematics and Analysis, Universitat de Barcelona, 08007, Barcelona, Spain","institution_ids":["https://openalex.org/I71999127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065661266","display_name":"\u00c0gata Lapedriza","orcid":"https://orcid.org/0000-0002-5248-0443"},"institutions":[{"id":"https://openalex.org/I4387153096","display_name":"Computer Vision Center","ror":"https://ror.org/00s0nnj93","country_code":null,"type":"other","lineage":["https://openalex.org/I4387153040","https://openalex.org/I4387153096"]},{"id":"https://openalex.org/I138847295","display_name":"Universitat Oberta de Catalunya","ror":"https://ror.org/01f5wp925","country_code":"ES","type":"education","lineage":["https://openalex.org/I138847295"]},{"id":"https://openalex.org/I4210122226","display_name":"Centre de Recerca Matem\u00e0tica","ror":"https://ror.org/020s51w82","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210122226","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"\u00c0gata Lapedriza","raw_affiliation_strings":["Computer Vision Center, O Building, UAB Campus, 08193, Bellaterra, Barcelona, Spain","Universitat Oberta de Catalunya, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center, O Building, UAB Campus, 08193, Bellaterra, Barcelona, Spain","institution_ids":["https://openalex.org/I4210122226","https://openalex.org/I4387153096"]},{"raw_affiliation_string":"Universitat Oberta de Catalunya, Barcelona, Spain","institution_ids":["https://openalex.org/I138847295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024246215","display_name":"Ricard Borr\u00e0s","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122226","display_name":"Centre de Recerca Matem\u00e0tica","ror":"https://ror.org/020s51w82","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210122226","https://openalex.org/I4387153040"]},{"id":"https://openalex.org/I4387153096","display_name":"Computer Vision Center","ror":"https://ror.org/00s0nnj93","country_code":null,"type":"other","lineage":["https://openalex.org/I4387153040","https://openalex.org/I4387153096"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ricard Borr\u00e0s","raw_affiliation_strings":["Computer Vision Center, O Building, UAB Campus, 08193, Bellaterra, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Computer Vision Center, O Building, UAB Campus, 08193, Bellaterra, Barcelona, Spain","institution_ids":["https://openalex.org/I4210122226","https://openalex.org/I4387153096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067001353"],"corresponding_institution_ids":["https://openalex.org/I4210122226","https://openalex.org/I4387153096","https://openalex.org/I71999127"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":16.2188,"has_fulltext":true,"cited_by_count":173,"citation_normalized_percentile":{"value":0.99506518,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9957000017166138,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.978600025177002,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7669507265090942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7257463932037354},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6555365324020386},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5956740379333496},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5857318639755249},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5778669118881226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5706573128700256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5588710904121399},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5110715627670288},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4845368266105652},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.45482707023620605},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4470776319503784},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.425737202167511},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.41675955057144165},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1891099512577057}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7669507265090942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257463932037354},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6555365324020386},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5956740379333496},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5857318639755249},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5778669118881226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5706573128700256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5588710904121399},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5110715627670288},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4845368266105652},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.45482707023620605},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4470776319503784},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.425737202167511},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.41675955057144165},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1891099512577057},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/1687-5281-2013-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-1","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-1","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:dnet:orepositorio::b3b85ca82295e23b3b59d4520c18a115","is_oa":true,"landing_page_url":"http://hdl.handle.net/10609/92454","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/1687-5281-2013-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2013-1","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2013-1","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1998077966.pdf","grobid_xml":"https://content.openalex.org/works/W1998077966.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W56484167","https://openalex.org/W102499664","https://openalex.org/W356219054","https://openalex.org/W1546677826","https://openalex.org/W1561782558","https://openalex.org/W1563917320","https://openalex.org/W2000205118","https://openalex.org/W2011058239","https://openalex.org/W2063029595","https://openalex.org/W2074852221","https://openalex.org/W2082098299","https://openalex.org/W2102742858","https://openalex.org/W2104335344","https://openalex.org/W2126680226","https://openalex.org/W2131737076","https://openalex.org/W2138218001","https://openalex.org/W2144545035","https://openalex.org/W2147815065","https://openalex.org/W2152914237","https://openalex.org/W2154663802","https://openalex.org/W2168195382","https://openalex.org/W2168415715","https://openalex.org/W2172156083","https://openalex.org/W2329985799","https://openalex.org/W2399752957","https://openalex.org/W2603247401","https://openalex.org/W2911722316","https://openalex.org/W2913133519","https://openalex.org/W2913311043","https://openalex.org/W3142799615","https://openalex.org/W3145063618","https://openalex.org/W3146431201"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2019992318","https://openalex.org/W92081101"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"a":[3,26,43,69,88],"new":[4,27],"approach":[5,161],"for":[6,118,180],"gait-based":[7],"gender":[8],"recognition":[9],"using":[10,96],"depth":[11,123,157],"cameras,":[12],"that":[13,32,121,142,168],"can":[14],"run":[15],"in":[16,42,185],"real":[17,181],"time.":[18],"The":[19],"main":[20],"contribution":[21],"of":[22,71,90,189],"this":[23],"study":[24],"is":[25,111,162],"fast":[28],"feature":[29],"extraction":[30],"strategy":[31],"uses":[33],"the":[34,40,72,91,102,107,113,139,146,171,176,186,190],"3D":[35],"point":[36],"cloud":[37],"obtained":[38],"from":[39],"frames":[41],"gait":[44,119],"cycle.":[45],"For":[46],"each":[47],"frame,":[48],"these":[49],"points":[50,93],"are":[51,62,83],"aligned":[52],"according":[53],"to":[54,164],"their":[55,65],"centroid":[56],"and":[57,94,133,138],"grouped.":[58],"After":[59],"that,":[60],"they":[61],"projected":[63,92],"into":[64],"PCA":[66],"plane,":[67],"obtaining":[68],"representation":[70],"cycle":[73],"particularly":[74],"robust":[75],"against":[76],"view":[77],"changes.":[78],"Then,":[79],"final":[80],"discriminative":[81],"features":[82],"computed":[84],"by":[85],"first":[86],"making":[87],"histogram":[89],"then":[95],"linear":[97],"discriminant":[98],"analysis.":[99],"To":[100],"test":[101],"method":[103,144,177],"we":[104],"have":[105,126],"used":[106],"DGait":[108],"database,":[109],"which":[110,153],"currently":[112],"only":[114],"publicly":[115],"available":[116],"database":[117],"analysis":[120],"includes":[122],"information.":[124,158,173],"We":[125],"performed":[127],"experiments":[128,191],"on":[129],"manually":[130],"labeled":[131],"cycles":[132],"over":[134],"whole":[135],"video":[136],"sequences,":[137],"results":[140],"show":[141],"our":[143,160],"improves":[145],"accuracy":[147],"significantly,":[148],"compared":[149],"with":[150],"state-of-the-art":[151],"systems":[152],"do":[154],"not":[155],"use":[156],"Furthermore,":[159],"insensitive":[163],"illumination":[165],"changes,":[166],"given":[167],"it":[169],"discards":[170],"RGB":[172],"That":[174],"makes":[175],"especially":[178],"suitable":[179],"applications,":[182],"as":[183],"illustrated":[184],"last":[187],"part":[188],"section.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":32},{"year":2016,"cited_by_count":36},{"year":2015,"cited_by_count":25},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}