{"id":"https://openalex.org/W4297337056","doi":"https://doi.org/10.1109/biosig55365.2022.9897053","title":"Incorporation of Extra Pseudo Labels for CNN-based Gait Recognition","display_name":"Incorporation of Extra Pseudo Labels for CNN-based Gait Recognition","publication_year":2022,"publication_date":"2022-09-01","ids":{"openalex":"https://openalex.org/W4297337056","doi":"https://doi.org/10.1109/biosig55365.2022.9897053"},"language":"en","primary_location":{"id":"doi:10.1109/biosig55365.2022.9897053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig55365.2022.9897053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference of the Biometrics Special Interest Group (BIOSIG)","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/A5012748357","display_name":"Daigo Muramatsu","orcid":"https://orcid.org/0000-0002-0053-4868"},"institutions":[{"id":"https://openalex.org/I6030618","display_name":"Seikei University","ror":"https://ror.org/03ptaj492","country_code":"JP","type":"education","lineage":["https://openalex.org/I6030618"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daigo Muramatsu","raw_affiliation_strings":["Seikei University,Dept. of Science and Technology,Tokyo,Japan","Dept. of Science and Technology, Seikei University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seikei University,Dept. of Science and Technology,Tokyo,Japan","institution_ids":["https://openalex.org/I6030618"]},{"raw_affiliation_string":"Dept. of Science and Technology, Seikei University, Tokyo, Japan","institution_ids":["https://openalex.org/I6030618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110441101","display_name":"Kousuke Moriwaki","orcid":null},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kousuke Moriwaki","raw_affiliation_strings":["Visual Intelligence Research Laboratories NEC Corporation,Kanagawa,Japan","Visual Intelligence Research Laboratories NEC Corporation, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Intelligence Research Laboratories NEC Corporation,Kanagawa,Japan","institution_ids":["https://openalex.org/I118347220"]},{"raw_affiliation_string":"Visual Intelligence Research Laboratories NEC Corporation, Kanagawa, Japan","institution_ids":["https://openalex.org/I118347220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064253204","display_name":"Yoshiki Maruya","orcid":null},"institutions":[{"id":"https://openalex.org/I6030618","display_name":"Seikei University","ror":"https://ror.org/03ptaj492","country_code":"JP","type":"education","lineage":["https://openalex.org/I6030618"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiki Maruya","raw_affiliation_strings":["Seikei University,Dept. of Computer and Information Science,Tokyo,Japan","Dept. of Computer and Information Science, Seikei University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seikei University,Dept. of Computer and Information Science,Tokyo,Japan","institution_ids":["https://openalex.org/I6030618"]},{"raw_affiliation_string":"Dept. of Computer and Information Science, Seikei University, Tokyo, Japan","institution_ids":["https://openalex.org/I6030618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002778538","display_name":"Noriko Takemura","orcid":"https://orcid.org/0000-0003-1977-4690"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]},{"id":"https://openalex.org/I4210143983","display_name":"Kyushu Art Institute of Technology","ror":"https://ror.org/03t4t2e74","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210143983"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriko Takemura","raw_affiliation_strings":["Kyushu Institute of Technology,Dept. of Artificial Intelligence,Fukuoka,Japan","Dept. of Artificial Intelligence, Kyushu Institute of Technology, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology,Dept. of Artificial Intelligence,Fukuoka,Japan","institution_ids":["https://openalex.org/I4210143983"]},{"raw_affiliation_string":"Dept. of Artificial Intelligence, Kyushu Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I4210143983","https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040773064","display_name":"Yasushi Yagi","orcid":"https://orcid.org/0000-0002-3546-8071"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Yagi","raw_affiliation_strings":["The Institute of Scientific and Industrial Research Osaka University,Osaka,Japan","The Institute of Scientific and Industrial Research Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I4210138169"]},{"raw_affiliation_string":"The Institute of Scientific and Industrial Research Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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":1.0,"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":0.9926999807357788,"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":0.986299991607666,"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/computer-science","display_name":"Computer science","score":0.7928282022476196},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7070557475090027},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6626745462417603},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6500785946846008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5888360142707825},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5635231733322144},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5568429827690125},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5237141251564026},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4826539158821106},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.46815064549446106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4282028079032898},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41537076234817505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3979525864124298},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07756593823432922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7928282022476196},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7070557475090027},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6626745462417603},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6500785946846008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5888360142707825},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5635231733322144},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5568429827690125},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5237141251564026},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4826539158821106},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.46815064549446106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4282028079032898},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41537076234817505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3979525864124298},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07756593823432922},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biosig55365.2022.9897053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig55365.2022.9897053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1896424170","https://openalex.org/W2016327746","https://openalex.org/W2018331988","https://openalex.org/W2115203491","https://openalex.org/W2126680226","https://openalex.org/W2130017751","https://openalex.org/W2146968264","https://openalex.org/W2155893237","https://openalex.org/W2251324968","https://openalex.org/W2322772590","https://openalex.org/W2510190030","https://openalex.org/W2542803194","https://openalex.org/W2605078686","https://openalex.org/W2754666677","https://openalex.org/W2760814882","https://openalex.org/W2824941129","https://openalex.org/W2945943572","https://openalex.org/W2963722008","https://openalex.org/W6718046261","https://openalex.org/W6735627414","https://openalex.org/W6745261891"],"related_works":["https://openalex.org/W3141979996","https://openalex.org/W2948333011","https://openalex.org/W4386619269","https://openalex.org/W1942758450","https://openalex.org/W2994972936","https://openalex.org/W2922338626","https://openalex.org/W4303645333","https://openalex.org/W4312745891","https://openalex.org/W3088045114","https://openalex.org/W2108010283"],"abstract_inverted_index":{"CNN":[0],"is":[1],"a":[2,87,92,96,120,144],"major":[3],"model":[4],"used":[5,44],"for":[6,34,63,72,141],"image-based":[7],"recognition":[8,123],"tasks,":[9],"including":[10],"gait":[11,146],"recognition,":[12],"and":[13,90,98,129],"many":[14],"CNN-based":[15,145],"network":[16],"structures":[17],"and/or":[18,75,111],"learning":[19,64],"frameworks":[20],"have":[21],"been":[22],"proposed.":[23],"Among":[24],"them,":[25],"we":[26,117,130],"focus":[27,118],"on":[28,119],"approaches":[29,41],"that":[30],"use":[31],"multiple":[32],"labels":[33,56,62,77,102,105,140],"learning,":[35],"typified":[36],"by":[37,53],"multi-task":[38],"learning.":[39],"These":[40],"are":[42,65,78],"sometimes":[43],"to":[45],"improve":[46],"the":[47,50,108,126,132],"accuracy":[48],"of":[49,134,143],"main":[51,109,127],"task":[52,94,110,124],"incorporating":[54],"extra":[55],"associated":[57,106],"with":[58,81,104,107,137],"sub-tasks.":[59],"The":[60],"incorporated":[61,79],"usually":[66],"selected":[67],"from":[68],"real":[69,112],"tasks":[70,136],"heuristically;":[71],"example,":[73],"gender":[74],"age":[76],"together":[80,103],"subject":[82],"identity":[83],"labels.":[84],"We":[85],"take":[86],"different":[88,138],"approach":[89],"consider":[91],"virtual":[93,135],"as":[95,125],"sub-task,":[97],"incorporate":[99],"pseudo":[100,139],"output":[101],"task.":[113],"In":[114],"this":[115],"paper,":[116],"gait-based":[121],"person":[122],"task,":[128],"discuss":[131],"effectiveness":[133],"construction":[142],"feature":[147],"extractor.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}