{"id":"https://openalex.org/W4403210671","doi":"https://doi.org/10.1109/tce.2024.3476273","title":"Privacy-Preserving 3-D Skeleton-Based Video Action Recognition via Graph Convolution Network","display_name":"Privacy-Preserving 3-D Skeleton-Based Video Action Recognition via Graph Convolution Network","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403210671","doi":"https://doi.org/10.1109/tce.2024.3476273"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2024.3476273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3476273","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5025182119","display_name":"Xuesong Gao","orcid":"https://orcid.org/0000-0003-4459-8123"},"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":"Xuesong Gao","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","College of Intelligence and Computing, Tianjin University, China"],"raw_orcid":"https://orcid.org/0000-0003-4459-8123","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111982109","display_name":"Keqiu Li","orcid":"https://orcid.org/0000-0003-1758-3030"},"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":"Keqiu Li","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","College of Intelligence and Computing, Tianjin University, China"],"raw_orcid":"https://orcid.org/0000-0003-1758-3030","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009324770","display_name":"Xiulong Liu","orcid":"https://orcid.org/0000-0002-4746-5599"},"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":"Xiulong Liu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","College of Intelligence and Computing, Tianjin University, China"],"raw_orcid":"https://orcid.org/0000-0002-4746-5599","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058652390","display_name":"Jie Nie","orcid":"https://orcid.org/0000-0003-4952-7666"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Nie","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","Faculty of Information Science and Engineering, Ocean University of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739312","display_name":"Wei\u2010Qiang Chen","orcid":"https://orcid.org/0000-0002-7686-2331"},"institutions":[{"id":"https://openalex.org/I4210111795","display_name":"Hisense (China)","ror":"https://ror.org/0276vcd78","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210111795"]},{"id":"https://openalex.org/I4391768236","display_name":"State Key Laboratory of Digital Multimedia Technology","ror":"https://ror.org/04kjvqe45","country_code":null,"type":"facility","lineage":["https://openalex.org/I4210111795","https://openalex.org/I4391768236"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqiang Chen","raw_affiliation_strings":["State Key Laboratory of Digital Multimedia Technology, Hisense Company Ltd., Qingdao, China","State Key Laboratory of Digital Multimedia Technology, Hisense Co., Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Multimedia Technology, Hisense Company Ltd., Qingdao, China","institution_ids":["https://openalex.org/I4210111795","https://openalex.org/I4391768236"]},{"raw_affiliation_string":"State Key Laboratory of Digital Multimedia Technology, Hisense Co., Ltd, China","institution_ids":["https://openalex.org/I4210111795","https://openalex.org/I4391768236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China","School of Computer Science, Peking University, China"],"raw_orcid":"https://orcid.org/0000-0002-2978-5935","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6131,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68433863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"71","issue":"2","first_page":"6627","last_page":"6641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9869999885559082,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9869999885559082,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.939300000667572,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.678999125957489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.672808051109314},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.630898118019104},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5436583757400513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48506584763526917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48437508940696716},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45823365449905396},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3029794692993164},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14510223269462585}],"concepts":[{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.678999125957489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672808051109314},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.630898118019104},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5436583757400513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48506584763526917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48437508940696716},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45823365449905396},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3029794692993164},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14510223269462585},{"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2024.3476273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3476273","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1947953275","display_name":null,"funder_award_id":"62425101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1950788856","https://openalex.org/W2048821851","https://openalex.org/W2078384949","https://openalex.org/W2096733369","https://openalex.org/W2132172731","https://openalex.org/W2510185399","https://openalex.org/W2559085405","https://openalex.org/W2603861860","https://openalex.org/W2604321021","https://openalex.org/W2613570903","https://openalex.org/W2701059868","https://openalex.org/W2736334449","https://openalex.org/W2792140610","https://openalex.org/W2916798096","https://openalex.org/W2928165649","https://openalex.org/W2948058585","https://openalex.org/W2950568498","https://openalex.org/W2963076818","https://openalex.org/W2964134613","https://openalex.org/W3022522270","https://openalex.org/W3034572008","https://openalex.org/W3035050855","https://openalex.org/W3049455300","https://openalex.org/W3108496296","https://openalex.org/W3173250331","https://openalex.org/W3185273257","https://openalex.org/W3203634062","https://openalex.org/W4200301490","https://openalex.org/W4200633254","https://openalex.org/W4213111496","https://openalex.org/W4282981352","https://openalex.org/W4312653732","https://openalex.org/W4312661503","https://openalex.org/W4312757522","https://openalex.org/W4320015918","https://openalex.org/W4327503178","https://openalex.org/W4362563552","https://openalex.org/W4378194932","https://openalex.org/W4386065362","https://openalex.org/W4386172478","https://openalex.org/W4387303325","https://openalex.org/W4388686944","https://openalex.org/W4388756760","https://openalex.org/W4389298228","https://openalex.org/W4390659346","https://openalex.org/W4391311259","https://openalex.org/W4396506525"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W2334655667","https://openalex.org/W2464530384","https://openalex.org/W4303411729","https://openalex.org/W2965803933","https://openalex.org/W4399611050","https://openalex.org/W4388657984","https://openalex.org/W4211202157","https://openalex.org/W2999049608","https://openalex.org/W3170431411"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"3D":[3,29,74,80],"skeleton":[4,30,82,113,125,174,249],"data-based":[5,31],"human":[6,32,81,137],"action":[7,33,59,167,188,199],"recognition":[8,42,60,168,179,189,222],"has":[9],"attracted":[10],"an":[11],"increasing":[12],"number":[13],"of":[14,17,111,135,144,195,206,241,248],"researchers":[15],"because":[16],"its":[18],"high":[19,221],"robustness":[20],"under":[21],"illumination":[22],"change":[23],"and":[24,43,88,122,141,155,161,212,245],"scene":[25],"variation.":[26],"However,":[27],"in":[28,51,92,209],"recognition,":[34],"there":[35],"are":[36],"still":[37],"some":[38],"challenges":[39],"including":[40],"multi-object":[41],"private":[44],"data":[45,83,86,90,104,126,244,250],"leakage.":[46],"To":[47],"address":[48],"this":[49,52],"issue,":[50],"paper,":[53],"we":[54,70,116,149,182,202],"propose":[55,72,117,150,162],"a":[56,64,73,118,128,145,151,163,185],"privacy-preserving":[57],"end-to-end":[58],"model":[61,169,180,196,208,218],"based":[62],"on":[63],"Graph":[65],"Convolutional":[66],"Network":[67],"(GCN).":[68],"Specifically,":[69],"innovatively":[71],"pose":[75],"estimation":[76],"method":[77,121,152],"to":[78,100,127,153,170,177],"obtain":[79],"from":[84],"color":[85],"streams":[87],"depth":[89],"streams,":[91],"which":[93,131,191],"the":[94,109,112,124,133,136,142,193,204,213,232,239,242,246],"mean":[95,233],"filtering":[96,234],"technique":[97,235],"is":[98],"applied":[99],"protect":[101,178,238],"users\u2019":[102],"video":[103],"privacy":[105,240],"while":[106],"not":[107],"affecting":[108],"extraction":[110],"data.":[114,175],"Then,":[115],"feature":[119],"representation":[120],"represent":[123],"GCN":[129],"model,":[130],"convolves":[132],"centroid":[134],"skeleton,":[138],"four":[139],"limbs,":[140],"trunk":[143],"person.":[146],"After":[147],"that,":[148],"fuse":[154],"extract":[156],"multiple":[157,172],"persons\u2019":[158],"movement":[159],"features":[160],"novel":[164],"GCN-based":[165],"interactive":[166],"recognize":[171],"people\u2019s":[173],"Moreover,":[176],"privacy,":[181],"also":[183],"design":[184],"ciphertext-based":[186],"secure":[187],"method,":[190],"guarantees":[192],"confidentiality":[194],"parameters":[197],"during":[198],"recognition.":[200],"Finally,":[201],"evaluate":[203],"performance":[205],"our":[207,217],"real":[210],"datasets,":[211],"results":[214,229],"demonstrate":[215,230],"that":[216,231],"can":[219,236,251],"achieve":[220],"accuracy":[223],"than":[224],"existing":[225],"models.":[226],"Meanwhile,":[227],"experimental":[228],"well":[237,253],"appearance":[243],"information":[247],"be":[252],"preserved.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
