{"id":"https://openalex.org/W3008081684","doi":"https://doi.org/10.1109/icsai48974.2019.9010216","title":"A Sequence-based Multi-Scale Network for Cross-View Gait Recognition","display_name":"A Sequence-based Multi-Scale Network for Cross-View Gait Recognition","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3008081684","doi":"https://doi.org/10.1109/icsai48974.2019.9010216","mag":"3008081684"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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/A5041301168","display_name":"Shixian Luo","orcid":"https://orcid.org/0000-0003-1538-0950"},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixian Luo","raw_affiliation_strings":["Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102351596","display_name":"Shiling Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiling Feng","raw_affiliation_strings":["Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110672876","display_name":"Huadong Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huadong Pan","raw_affiliation_strings":["Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606500","display_name":"Jun Yin","orcid":"https://orcid.org/0000-0002-8993-3178"},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yin","raw_affiliation_strings":["Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101758807","display_name":"Xingming Zhang","orcid":"https://orcid.org/0000-0001-8239-5410"},"institutions":[{"id":"https://openalex.org/I4210151935","display_name":"Dahua Technology (China)","ror":"https://ror.org/04k9ktn61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingming Zhang","raw_affiliation_strings":["Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Research Institute of Zhejiang Dahua Technology Co. Ltd, Hangzhou, China","institution_ids":["https://openalex.org/I4210151935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210151935"],"apc_list":null,"apc_paid":null,"fwci":0.4887,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64856733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1179","last_page":"1183"},"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":0.9717000126838684,"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":0.9686999917030334,"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":0.7430751323699951},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7319233417510986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7107374668121338},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6982695460319519},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6431187391281128},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6241989135742188},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5932793021202087},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5924457907676697},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5617252588272095},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5130628347396851},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4569779336452484},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4183429777622223},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41425585746765137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12317988276481628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430751323699951},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7319233417510986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7107374668121338},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6982695460319519},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6431187391281128},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6241989135742188},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5932793021202087},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5924457907676697},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5617252588272095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5130628347396851},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4569779336452484},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4183429777622223},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41425585746765137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12317988276481628},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2055121069","https://openalex.org/W2058897916","https://openalex.org/W2104335344","https://openalex.org/W2126680226","https://openalex.org/W2322772590","https://openalex.org/W2437735720","https://openalex.org/W2463071499","https://openalex.org/W2510190030","https://openalex.org/W2517225990","https://openalex.org/W2587215467","https://openalex.org/W2739325416","https://openalex.org/W2896244440","https://openalex.org/W2963180826","https://openalex.org/W2963301258","https://openalex.org/W2963842104","https://openalex.org/W3100506510","https://openalex.org/W6675575696"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W120096811","https://openalex.org/W2923160319","https://openalex.org/W2945912943","https://openalex.org/W4254098118","https://openalex.org/W2124490647","https://openalex.org/W2587763979"],"abstract_inverted_index":{"Gait":[0],"is":[1,54,81,102],"recognized":[2],"as":[3,72],"a":[4,39,50],"suitable":[5],"feature":[6,114],"for":[7,21,56],"long":[8],"distance":[9],"person":[10],"identification.":[11],"Although":[12],"horizontal":[13],"partition":[14],"has":[15],"been":[16],"proved":[17],"an":[18,132],"effective":[19],"strategy":[20,53],"gait":[22,70],"recognition,":[23],"the":[24,30,68,85,92,107,113,122,144],"existing":[25],"methods":[26],"do":[27],"not":[28],"learn":[29],"part-level":[31],"features":[32,94,97],"separately.":[33],"In":[34,48,126],"this":[35],"paper,":[36],"we":[37,130],"designed":[38,65],"Sequence-based":[40],"Multi-Scale":[41],"Network":[42],"(SMSN)":[43],"to":[44,83,105],"extract":[45],"discriminative":[46],"features.":[47],"addition,":[49],"multi-branch":[51],"learning":[52],"proposed":[55],"extracting":[57],"multiple":[58],"semantic":[59],"at":[60],"different":[61],"scales.":[62],"This":[63],"new":[64],"network":[66],"takes":[67],"unordered":[69],"sequence":[71],"input,":[73],"and":[74,90,120],"then":[75],"attentive":[76],"temporal":[77],"pooling":[78],"(ATP)":[79],"method":[80],"used":[82],"measure":[84],"quality":[86],"of":[87,117,124,136],"each":[88,118],"silhouette,":[89],"aggregates":[91],"frame-level":[93],"into":[95],"sequence-level":[96,108],"simultaneously.":[98],"The":[99],"soft-max":[100],"loss":[101],"further":[103],"added":[104],"constrain":[106],"features,":[109],"which":[110,142],"can":[111],"improves":[112],"extraction":[115],"ability":[116],"branch,":[119],"reduce":[121],"difficulty":[123],"convergence.":[125],"CASIA-B":[127],"dataset":[128],"experiment,":[129],"achieved":[131],"average":[133],"recognition":[134],"rate":[135],"96.1%":[137],"under":[138],"normal":[139],"walking":[140],"condition,":[141],"surpass":[143],"state-of-the-":[145],"art":[146],"methods.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}