{"id":"https://openalex.org/W4308238328","doi":"https://doi.org/10.1109/icip46576.2022.9897409","title":"GAITTAKE: Gait Recognition by Temporal Attention and Keypoint-Guided Embedding","display_name":"GAITTAKE: Gait Recognition by Temporal Attention and Keypoint-Guided Embedding","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308238328","doi":"https://doi.org/10.1109/icip46576.2022.9897409"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897409","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5023752828","display_name":"Hung-Min Hsu","orcid":"https://orcid.org/0000-0002-7180-1396"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hung-Min Hsu","raw_affiliation_strings":["University of Washington,Information Processing Lab,Seattle,USA","Information Processing Lab, University of Washington, Seattle, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,Information Processing Lab,Seattle,USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"Information Processing Lab, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602394","display_name":"Yizhou Wang","orcid":"https://orcid.org/0000-0001-9692-6235"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yizhou Wang","raw_affiliation_strings":["University of Washington,Information Processing Lab,Seattle,USA","Information Processing Lab, University of Washington, Seattle, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,Information Processing Lab,Seattle,USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"Information Processing Lab, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047672937","display_name":"Cheng-Yen Yang","orcid":"https://orcid.org/0009-0004-2631-6756"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng-Yen Yang","raw_affiliation_strings":["University of Washington,Information Processing Lab,Seattle,USA","Information Processing Lab, University of Washington, Seattle, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,Information Processing Lab,Seattle,USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"Information Processing Lab, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110438912","display_name":"Jenq-Neng Hwang","orcid":"https://orcid.org/0009-0007-8852-2610"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenq-Neng Hwang","raw_affiliation_strings":["University of Washington,Information Processing Lab,Seattle,USA","Information Processing Lab, University of Washington, Seattle, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington,Information Processing Lab,Seattle,USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]},{"raw_affiliation_string":"Information Processing Lab, University of Washington, Seattle, USA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037923279","display_name":"Hoang Le Uyen Thuc","orcid":null},"institutions":[{"id":"https://openalex.org/I3129492623","display_name":"University of Da Nang","ror":"https://ror.org/03ecpp171","country_code":"VN","type":"education","lineage":["https://openalex.org/I3129492623"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hoang Le Uyen Thuc","raw_affiliation_strings":["University of Danang,University of Science and Technology,Danang,Vietnam","University of Science and Technology, University of Danang, Danang, Vietnam"],"affiliations":[{"raw_affiliation_string":"University of Danang,University of Science and Technology,Danang,Vietnam","institution_ids":["https://openalex.org/I3129492623"]},{"raw_affiliation_string":"University of Science and Technology, University of Danang, Danang, Vietnam","institution_ids":["https://openalex.org/I3129492623"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064858861","display_name":"Kwang\u2010Ju Kim","orcid":"https://orcid.org/0000-0001-8458-4506"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Ju Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI),Daegu,South Korea","Electronics and Telecommunications Research Institute (ETRI), Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI),Daegu,South Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), Daegu, South Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023752828"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I58610484"],"apc_list":null,"apc_paid":null,"fwci":8.0432,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.98590705,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2546","last_page":"2550"},"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":0.9796000123023987,"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":0.9569000005722046,"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/gait","display_name":"Gait","score":0.8131098747253418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7162158489227295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6963579058647156},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6201032400131226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5805526971817017},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5514456629753113},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5212172269821167},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46888917684555054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4288389980792999}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.8131098747253418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7162158489227295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6963579058647156},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6201032400131226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5805526971817017},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5514456629753113},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5212172269821167},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46888917684555054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4288389980792999},{"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},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897409","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1986119156","https://openalex.org/W2091451699","https://openalex.org/W2104335344","https://openalex.org/W2115203491","https://openalex.org/W2118036996","https://openalex.org/W2126680226","https://openalex.org/W2130017751","https://openalex.org/W2154663802","https://openalex.org/W2322772590","https://openalex.org/W2510190030","https://openalex.org/W2612627974","https://openalex.org/W2765328347","https://openalex.org/W2788751553","https://openalex.org/W2790184137","https://openalex.org/W2963150697","https://openalex.org/W2963301258","https://openalex.org/W3035400973","https://openalex.org/W3093108399","https://openalex.org/W3096732040","https://openalex.org/W3109072956","https://openalex.org/W6785442693"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2951819827","https://openalex.org/W2849310602","https://openalex.org/W2419146053","https://openalex.org/W2088247287","https://openalex.org/W3006008237","https://openalex.org/W2386960251"],"abstract_inverted_index":{"Gait":[0],"recognition,":[1],"which":[2,87],"refers":[3],"to":[4,40],"the":[5,41,48,128,135],"recognition":[6,78,115],"or":[7],"identification":[8],"of":[9,43,47,119],"a":[10,26,59,75,110],"person":[11],"based":[12],"on":[13,127,134],"their":[14],"body":[15],"shape":[16],"and":[17,36,54,66,83,92,96,124],"walking":[18],"styles,":[19],"derived":[20],"from":[21,25],"video":[22],"data":[23],"captured":[24],"distance,":[27],"is":[28],"widely":[29],"used":[30],"in":[31,113],"crime":[32],"prevention,":[33],"forensic":[34],"identification,":[35],"social":[37],"security.":[38],"However,":[39],"best":[42],"our":[44,106],"knowledge,":[45],"most":[46],"existing":[49],"methods":[50],"use":[51],"appearance,":[52],"posture":[53],"temporal":[55,61,97],"feautures":[56],"without":[57],"considering":[58],"learned":[60],"attention":[62],"mechanism":[63],"for":[64],"global":[65,91],"local":[67,93],"information":[68],"fusion.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73],"propose":[74],"novel":[76],"gait":[77,114,130,137],"framework,":[79],"called":[80],"Temporal":[81],"Attention":[82],"Keypoint-guided":[84],"Embedding":[85],"(GaitTAKE),":[86],"effectively":[88],"fuses":[89],"temporal-attention-based":[90],"appearance":[94],"feature":[95],"aggregated":[98],"human":[99],"pose":[100],"feature.":[101],"Experimental":[102],"results":[103],"show":[104],"that":[105],"proposed":[107],"method":[108],"achieves":[109],"new":[111],"SOTA":[112],"with":[116],"rank-1":[117],"accuracy":[118,133],"98.0%":[120],"(normal),":[121],"97.5%":[122],"(bag)":[123],"92.2%":[125],"(coat)":[126],"CASIA-B":[129],"dataset;":[131],"90.4%":[132],"OU-MVLP":[136],"dataset.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-05T07:30:30.508283","created_date":"2025-10-10T00:00:00"}