{"id":"https://openalex.org/W2963301258","doi":"https://doi.org/10.1609/aaai.v33i01.33018126","title":"GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition","display_name":"GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963301258","doi":"https://doi.org/10.1609/aaai.v33i01.33018126","mag":"2963301258"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018126","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018126","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4821/4694","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4821/4694","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070759471","display_name":"Hanqing Chao","orcid":"https://orcid.org/0000-0001-5973-2343"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanqing Chao","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461965","display_name":"Yiwei He","orcid":"https://orcid.org/0000-0002-2564-1344"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei He","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696429","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-5924-3360"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080019095","display_name":"Jianfeng Feng","orcid":"https://orcid.org/0000-0002-9328-5732"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Feng","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070759471"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":117.973,"has_fulltext":true,"cited_by_count":597,"citation_normalized_percentile":{"value":0.9996341,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"8126","last_page":"8133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9995999932289124,"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":0.9995999932289124,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.8333231210708618},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6918253898620605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6868121027946472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6004990935325623},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.588201642036438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5485641360282898},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5243502259254456},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46994760632514954},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4659631550312042},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.42546746134757996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3940308690071106},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.0757952630519867}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.8333231210708618},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6918253898620605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6868121027946472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6004990935325623},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.588201642036438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5485641360282898},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5243502259254456},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46994760632514954},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4659631550312042},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.42546746134757996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3940308690071106},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.0757952630519867},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018126","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018126","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4821/4694","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4821","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018126","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018126","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4821/4694","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G5988287116","display_name":null,"funder_award_id":"61673118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963301258.pdf","grobid_xml":"https://content.openalex.org/works/W2963301258.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1181052087","https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1561782558","https://openalex.org/W2011058239","https://openalex.org/W2026800967","https://openalex.org/W2059901520","https://openalex.org/W2068715223","https://openalex.org/W2104335344","https://openalex.org/W2126680226","https://openalex.org/W2322772590","https://openalex.org/W2510190030","https://openalex.org/W2517225990","https://openalex.org/W2549599535","https://openalex.org/W2560609797","https://openalex.org/W2587215467","https://openalex.org/W2598634450","https://openalex.org/W2624431344","https://openalex.org/W2624503621","https://openalex.org/W2739325416","https://openalex.org/W2760814882","https://openalex.org/W2765328347","https://openalex.org/W2769571673","https://openalex.org/W2788012242","https://openalex.org/W2788751553","https://openalex.org/W2797752778","https://openalex.org/W2807461033","https://openalex.org/W2962926870","https://openalex.org/W2963091558","https://openalex.org/W2963121255","https://openalex.org/W2963180826","https://openalex.org/W2963727135","https://openalex.org/W2979750740","https://openalex.org/W3100506510","https://openalex.org/W4294558607","https://openalex.org/W6631190155","https://openalex.org/W6653060269","https://openalex.org/W6679030387","https://openalex.org/W6735531217","https://openalex.org/W6744580074","https://openalex.org/W6746034047","https://openalex.org/W6747904511"],"related_works":["https://openalex.org/W3185413894","https://openalex.org/W43073117","https://openalex.org/W1905194803","https://openalex.org/W2353749315","https://openalex.org/W2137411393","https://openalex.org/W1989935232","https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W4321443899","https://openalex.org/W2111603423"],"abstract_inverted_index":{"As":[0],"a":[1,10,26,34,45,67,71,76,84,177,205,214,218,224],"unique":[2],"biometric":[3],"feature":[4],"that":[5,134],"can":[6,110,211],"be":[7],"recognized":[8],"at":[9,241],"distance,":[11],"gait":[12,29,35,46,60,72,152,161],"has":[13,238],"broad":[14],"applications":[15],"in":[16,223],"crime":[17],"prevention,":[18],"forensic":[19],"identification":[20],"and":[21,54,109,154,187,193],"social":[22],"security.":[23],"To":[24],"portray":[25],"gait,":[27],"existing":[28,201],"recognition":[30,168],"methods":[31,203],"utilize":[32],"either":[33],"template,":[36],"where":[37,70],"temporal":[38],"information":[39,92],"is":[40,73,103],"hard":[41],"to":[42,89,105],"preserve,":[43],"or":[44],"sequence,":[47],"which":[48,117],"must":[49],"keep":[50],"unnecessary":[51],"sequential":[52],"constraints":[53],"thus":[55],"loses":[56],"the":[57,94,98,150,159,200],"flexibility":[58],"of":[59,79,107,147,180,185,221],"recognition.":[61],"In":[62],"this":[63],"paper":[64],"we":[65],"present":[66],"novel":[68],"perspective,":[69,100],"regarded":[74],"as":[75,125],"set":[77,99],"consisting":[78],"independent":[80],"frames.":[81,234],"We":[82],"propose":[83],"new":[85,166],"network":[86],"named":[87],"GaitSet":[88],"learn":[90],"identity":[91],"from":[93,114],"set.":[95],"Based":[96],"on":[97,149,158,189,229],"our":[101,139,174],"method":[102,141,209],"immune":[104],"permutation":[106],"frames,":[108],"naturally":[111],"integrate":[112],"frames":[113,222],"different":[115,122,129],"videos":[116],"have":[118],"been":[119,239],"filmed":[120],"under":[121,135,191],"scenarios,":[123,173],"such":[124],"diverse":[126],"viewing":[127],"angles,":[128],"clothes/carrying":[130],"conditions.":[131],"Experiments":[132],"show":[133],"normal":[136],"walking":[137,195],"conditions,":[138,196],"single-model":[140],"achieves":[142,183],"an":[143,155],"average":[144],"rank-1":[145],"accuracy":[146,157,216],"95.0%":[148],"CASIA-B":[151,190,230],"dataset":[153],"87.1%":[156],"OU-MVLP":[160],"dataset.":[162],"These":[163,198],"results":[164],"represent":[165],"state-of-the-art":[167],"accuracy.":[169],"On":[170],"various":[171],"complex":[172],"model":[175],"exhibits":[176],"significant":[178],"level":[179],"robustness.":[181],"It":[182],"accuracies":[184],"87.2%":[186],"70.4%":[188],"bag-carrying":[192],"coat-wearing":[194],"respectively.":[197],"outperform":[199],"best":[202],"by":[204],"large":[206],"margin.":[207],"The":[208,235],"presented":[210],"also":[212],"achieve":[213],"satisfactory":[215],"with":[217,231],"small":[219],"number":[220],"test":[225],"sample,":[226],"e.g.,":[227],"82.5%":[228],"only":[232],"7":[233],"source":[236],"code":[237],"released":[240],"https://github.com/AbnerHqC/GaitSet.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":25},{"year":2025,"cited_by_count":93},{"year":2024,"cited_by_count":128},{"year":2023,"cited_by_count":104},{"year":2022,"cited_by_count":85},{"year":2021,"cited_by_count":95},{"year":2020,"cited_by_count":52},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
