{"id":"https://openalex.org/W2760814882","doi":"https://doi.org/10.1109/tcsvt.2017.2760835","title":"On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition","display_name":"On Input/Output Architectures for Convolutional Neural Network-Based Cross-View Gait Recognition","publication_year":2017,"publication_date":"2017-10-09","ids":{"openalex":"https://openalex.org/W2760814882","doi":"https://doi.org/10.1109/tcsvt.2017.2760835","mag":"2760814882"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2017.2760835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2760835","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5002778538","display_name":"Noriko Takemura","orcid":"https://orcid.org/0000-0003-1977-4690"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Noriko Takemura","raw_affiliation_strings":["Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210133125","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010680369","display_name":"Yasushi Makihara","orcid":"https://orcid.org/0000-0002-7071-4872"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Makihara","raw_affiliation_strings":["Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210133125","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012748357","display_name":"Daigo Muramatsu","orcid":"https://orcid.org/0000-0002-0053-4868"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]},{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daigo Muramatsu","raw_affiliation_strings":["Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210133125","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086525161","display_name":"Tomio Echigo","orcid":null},"institutions":[{"id":"https://openalex.org/I189513530","display_name":"Osaka Electro-Communication University","ror":"https://ror.org/056bksm23","country_code":"JP","type":"education","lineage":["https://openalex.org/I189513530"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomio Echigo","raw_affiliation_strings":["Department of Engineering Informatics, Osaka Electro-Communication University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Informatics, Osaka Electro-Communication University, Osaka, Japan","institution_ids":["https://openalex.org/I189513530"]}]},{"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/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I98285908","display_name":"Osaka University","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":["Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Collaborative Research Division for Wide-Area Security Technology, Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210133125","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002778538"],"corresponding_institution_ids":["https://openalex.org/I4210133125","https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":9.8781,"has_fulltext":false,"cited_by_count":205,"citation_normalized_percentile":{"value":0.98840155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"29","issue":"9","first_page":"2708","last_page":"2719"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.994700014591217,"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":0.9829000234603882,"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":0.7856526374816895},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7782175540924072},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7143297791481018},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.596805214881897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5929759740829468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.572472333908081},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.545921266078949},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5341001749038696},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5258163213729858},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5007274150848389},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.46018582582473755},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4156121015548706},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40585342049598694},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32600778341293335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1651771068572998},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08425000309944153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7856526374816895},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7782175540924072},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7143297791481018},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.596805214881897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5929759740829468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.572472333908081},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.545921266078949},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5341001749038696},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5258163213729858},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5007274150848389},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.46018582582473755},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4156121015548706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40585342049598694},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32600778341293335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1651771068572998},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08425000309944153},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2017.2760835","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2760835","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G8779175418","display_name":null,"funder_award_id":"JP15H01693","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320322638","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W219040644","https://openalex.org/W1533861849","https://openalex.org/W1561782558","https://openalex.org/W1665214252","https://openalex.org/W1896402587","https://openalex.org/W1954814386","https://openalex.org/W1971239273","https://openalex.org/W1974775426","https://openalex.org/W1975517671","https://openalex.org/W1986895792","https://openalex.org/W1991452654","https://openalex.org/W2011058239","https://openalex.org/W2016053056","https://openalex.org/W2018331988","https://openalex.org/W2026800967","https://openalex.org/W2035725550","https://openalex.org/W2055121069","https://openalex.org/W2058897916","https://openalex.org/W2071051349","https://openalex.org/W2072510697","https://openalex.org/W2075060084","https://openalex.org/W2085058513","https://openalex.org/W2091451699","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2104035329","https://openalex.org/W2104335344","https://openalex.org/W2113651538","https://openalex.org/W2116208049","https://openalex.org/W2121647436","https://openalex.org/W2126680226","https://openalex.org/W2148568366","https://openalex.org/W2151239861","https://openalex.org/W2157364932","https://openalex.org/W2308045930","https://openalex.org/W2322772590","https://openalex.org/W2407362091","https://openalex.org/W2437735720","https://openalex.org/W2510190030","https://openalex.org/W2515018387","https://openalex.org/W2517225990","https://openalex.org/W2963589138","https://openalex.org/W6631943919","https://openalex.org/W6633663260","https://openalex.org/W6637242042","https://openalex.org/W6674330103","https://openalex.org/W6675575696"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W147410782","https://openalex.org/W4287804464","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W2152352598","https://openalex.org/W803346624","https://openalex.org/W3108539254"],"abstract_inverted_index":{"In":[0],"this":[1,16],"paper,":[2],"we":[3,18,40,137],"discuss":[4],"input/output":[5],"architectures":[6,73,141,175],"for":[7,53,68,166],"convolutional":[8],"neural":[9],"network":[10,44,58],"(CNN)-based":[11],"cross-view":[12,167],"gait":[13,168],"recognition.":[14],"For":[15],"purpose,":[17],"consider":[19],"two":[20],"aspects:":[21],"verification":[22,54],"versus":[23],"identification":[24],"and":[25,35,50,55,64,97,170,189],"the":[26,42,80,89,95,121,130,143,152,173,177],"tradeoff":[27],"between":[28,82,145],"spatial":[29,77,122,161],"displacements":[30],"caused":[31],"by":[32],"subject":[33,131],"difference":[34,81,132,144],"view":[36,111,135,190],"difference.":[37],"More":[38],"specifically,":[39],"use":[41,120,139],"Siamese":[43],"with":[45,59,182],"a":[46,56,60,83,146],"pair":[47,85,148],"of":[48,62,129,186],"inputs":[49,63],"contrastive":[51],"loss":[52,67],"triplet":[57,61,65],"ranking":[66],"identification.":[69],"The":[70],"aforementioned":[71],"CNN":[72,140],"are":[74,103],"insensitive":[75],"to":[76,105,119,124,155,160],"displacement,":[78],"because":[79,115,128],"matching":[84,147],"is":[86,117,149],"calculated":[87,150],"at":[88,151],"last":[90],"layer":[91],"after":[92],"passing":[93],"through":[94],"convolution":[96],"max":[98],"pooling":[99],"layers;":[100],"hence,":[101],"they":[102],"expected":[104],"work":[106],"relatively":[107],"well":[108],"under":[109,133],"large":[110],"differences.":[112,191],"By":[113],"contrast,":[114],"it":[116],"better":[118],"displacement":[123],"its":[125],"best":[126],"advantage":[127],"small":[134],"differences,":[136],"also":[138],"where":[142],"input":[153],"level":[154],"make":[156],"them":[157],"more":[158],"sensitive":[159],"displacement.":[162],"We":[163],"conducted":[164],"experiments":[165],"recognition":[169],"confirmed":[171],"that":[172],"proposed":[174],"outperformed":[176],"state-of-the-art":[178],"benchmarks":[179],"in":[180],"accordance":[181],"their":[183],"suitable":[184],"situations":[185],"verification/identification":[187],"tasks":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":14}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}