{"id":"https://openalex.org/W4372260269","doi":"https://doi.org/10.1109/icassp49357.2023.10096986","title":"Combining the Silhouette and Skeleton Data for Gait Recognition","display_name":"Combining the Silhouette and Skeleton Data for Gait Recognition","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260269","doi":"https://doi.org/10.1109/icassp49357.2023.10096986"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5025178851","display_name":"Likai Wang","orcid":"https://orcid.org/0000-0003-4054-649X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Likai Wang","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China","College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004806106","display_name":"Ruize Han","orcid":"https://orcid.org/0000-0002-6587-8936"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruize Han","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China","College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108124847","display_name":"Wei Feng","orcid":"https://orcid.org/0000-0002-2665-2870"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Feng","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China","College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":28,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9894000291824341,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9739999771118164,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.842271625995636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7554823160171509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7162284851074219},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6715309619903564},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6673242449760437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6029582619667053},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5916269421577454},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5652366280555725},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5645285248756409},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5196048617362976},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4800225794315338},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4273243546485901},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2570526897907257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1734302043914795},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.0770537257194519}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.842271625995636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554823160171509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7162284851074219},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6715309619903564},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6673242449760437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6029582619667053},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5916269421577454},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5652366280555725},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5645285248756409},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5196048617362976},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4800225794315338},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4273243546485901},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2570526897907257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1734302043914795},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0770537257194519},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2104335344","https://openalex.org/W2322772590","https://openalex.org/W2559085405","https://openalex.org/W2788751553","https://openalex.org/W2886790699","https://openalex.org/W2915184863","https://openalex.org/W2942010964","https://openalex.org/W2949024437","https://openalex.org/W2963301258","https://openalex.org/W2977530922","https://openalex.org/W3008732063","https://openalex.org/W3015249368","https://openalex.org/W3035225512","https://openalex.org/W3035400973","https://openalex.org/W3185273257","https://openalex.org/W3201864842","https://openalex.org/W3202075110","https://openalex.org/W3206550301","https://openalex.org/W4205543101","https://openalex.org/W4283796380","https://openalex.org/W4292793985","https://openalex.org/W4312320062","https://openalex.org/W4312623054","https://openalex.org/W6675575696","https://openalex.org/W6774336676"],"related_works":["https://openalex.org/W120096811","https://openalex.org/W3185413894","https://openalex.org/W2923160319","https://openalex.org/W2945912943","https://openalex.org/W4254098118","https://openalex.org/W2587763979","https://openalex.org/W1905194803","https://openalex.org/W2137411393","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Gait":[0],"recognition,":[1],"a":[2,56,69,77,96,118],"long-distance":[3],"biometric":[4],"technology,":[5],"has":[6],"aroused":[7],"intense":[8],"interest":[9],"recently.":[10],"Currently,":[11],"the":[12,47,91,109],"two":[13],"dominant":[14],"gait":[15,88],"recognition":[16],"works":[17],"are":[18,33,44],"appearance-based":[19,31],"and":[20,27,38,76,107,128,137],"model-based,":[21],"which":[22,67],"extract":[23],"features":[24],"from":[25],"silhouettes":[26,73],"skeletons,":[28],"respectively.":[29],"However,":[30],"methods":[32,43],"greatly":[34],"affected":[35],"by":[36,46],"clothes-changing":[37],"carrying":[39],"conditions,":[40],"while":[41],"model-based":[42],"limited":[45],"accuracy":[48],"of":[49],"pose":[50],"estimation.":[51],"To":[52],"tackle":[53],"this":[54,65],"challenge,":[55],"simple":[57],"yet":[58],"effective":[59],"two-branch":[60],"network":[61],"is":[62],"proposed":[63],"in":[64,90,146],"paper,":[66],"contains":[68],"CNN-based":[70],"branch":[71,79],"taking":[72,80],"as":[74,82],"input":[75],"GCN-based":[78,92],"skeletons":[81],"input.":[83],"In":[84],"addition,":[85],"for":[86],"better":[87],"representation":[89],"branch,":[93],"we":[94,116],"present":[95],"fully":[97],"connected":[98],"graph":[99,105],"convolution":[100],"operator":[101],"to":[102,124],"integrate":[103],"multi-scale":[104],"convolutions":[106],"alleviate":[108],"dependence":[110],"on":[111,135],"natural":[112],"joint":[113],"connections.":[114],"Also,":[115],"deploy":[117],"multi-dimension":[119],"attention":[120,130],"module":[121],"named":[122],"STC-Att":[123],"learn":[125],"spatial,":[126],"temporal":[127],"channel-wise":[129],"simultaneously.":[131],"The":[132],"experimental":[133],"results":[134],"CASIA-B":[136],"OUMVLP":[138],"show":[139],"that":[140],"our":[141],"method":[142],"achieves":[143],"state-of-the-art":[144],"performance":[145],"various":[147],"conditions.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}