{"id":"https://openalex.org/W3180933213","doi":"https://doi.org/10.1109/tcsvt.2021.3095290","title":"RPNet: Gait Recognition With Relationships Between Each Body-Parts","display_name":"RPNet: Gait Recognition With Relationships Between Each Body-Parts","publication_year":2021,"publication_date":"2021-07-07","ids":{"openalex":"https://openalex.org/W3180933213","doi":"https://doi.org/10.1109/tcsvt.2021.3095290","mag":"3180933213"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2021.3095290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3095290","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5101447744","display_name":"Hao Qin","orcid":"https://orcid.org/0000-0002-7994-1983"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Qin","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-7994-1983","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065397399","display_name":"Zhenxue Chen","orcid":"https://orcid.org/0000-0001-9637-5170"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxue Chen","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China","State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9637-5170","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085905927","display_name":"Qingqiang Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingqiang Guo","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100731724","display_name":"Q. M. Jonathan Wu","orcid":"https://orcid.org/0000-0002-5208-7975"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Q. M. Jonathan Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5208-7975","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080244110","display_name":"Mengxu Lu","orcid":"https://orcid.org/0000-0002-4042-8904"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxu Lu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-4042-8904","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101447744"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":2.4638,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.88982633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"32","issue":"5","first_page":"2990","last_page":"3000"},"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":0.9800000190734863,"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":0.9689000248908997,"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/robustness","display_name":"Robustness (evolution)","score":0.7735453248023987},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.7664831876754761},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7358370423316956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6791119575500488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.661796510219574},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.654369056224823},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6179544925689697},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5946779251098633},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5652420520782471},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43359941244125366},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0931486189365387}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7735453248023987},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.7664831876754761},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7358370423316956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6791119575500488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.661796510219574},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.654369056224823},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6179544925689697},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5946779251098633},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5652420520782471},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43359941244125366},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0931486189365387},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2021.3095290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2021.3095290","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6943220726","display_name":null,"funder_award_id":"ISN20-06","funder_id":"https://openalex.org/F4320330485","funder_display_name":"State Key Laboratory of Integrated Services Networks"},{"id":"https://openalex.org/G867047861","display_name":null,"funder_award_id":"2019YFB1311001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8865734290","display_name":null,"funder_award_id":"61876099","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"},{"id":"https://openalex.org/F4320330485","display_name":"State Key Laboratory of Integrated Services Networks","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1896402587","https://openalex.org/W1998317034","https://openalex.org/W2011058239","https://openalex.org/W2018331988","https://openalex.org/W2055121069","https://openalex.org/W2062036973","https://openalex.org/W2066372561","https://openalex.org/W2081646104","https://openalex.org/W2098364470","https://openalex.org/W2104335344","https://openalex.org/W2126680226","https://openalex.org/W2136964982","https://openalex.org/W2149516292","https://openalex.org/W2322772590","https://openalex.org/W2437735720","https://openalex.org/W2517225990","https://openalex.org/W2542803194","https://openalex.org/W2556892663","https://openalex.org/W2559085405","https://openalex.org/W2598634450","https://openalex.org/W2724213014","https://openalex.org/W2760814882","https://openalex.org/W2765328347","https://openalex.org/W2765366725","https://openalex.org/W2788751553","https://openalex.org/W2806213304","https://openalex.org/W2807461033","https://openalex.org/W2902259627","https://openalex.org/W2909676093","https://openalex.org/W2909756869","https://openalex.org/W2911676551","https://openalex.org/W2960957522","https://openalex.org/W2962926870","https://openalex.org/W2963180826","https://openalex.org/W2963301258","https://openalex.org/W2963438548","https://openalex.org/W2963736028","https://openalex.org/W2963854019","https://openalex.org/W2963876278","https://openalex.org/W2967515867","https://openalex.org/W2993585638","https://openalex.org/W2997085798","https://openalex.org/W3008732063","https://openalex.org/W3035400973","https://openalex.org/W3092106049","https://openalex.org/W3100927979","https://openalex.org/W3100993552","https://openalex.org/W3127230993","https://openalex.org/W6630542385","https://openalex.org/W6631190155","https://openalex.org/W6735531217","https://openalex.org/W6746131018"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W4293226380","https://openalex.org/W2372254676","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W3141979996","https://openalex.org/W1996690921","https://openalex.org/W2386960251"],"abstract_inverted_index":{"At":[0,126],"present,":[1],"many":[2],"studies":[3],"have":[4],"shown":[5],"that":[6,88,203],"partitioning":[7],"the":[8,17,27,37,58,78,91,100,107,111,121,127,130,133,146,149,155,158,207],"gait":[9,20,64,167],"sequence":[10],"and":[11,70,106,144,154,171,183,188,195],"its":[12],"feature":[13,28],"map":[14,29],"can":[15],"improve":[16],"accuracy":[18],"of":[19,57,102,135,151,157,178,186],"recognition.":[21,65],"However,":[22],"most":[23],"models":[24],"just":[25],"cut":[26],"at":[30],"a":[31,46,71,175],"fixed":[32],"single":[33],"scale,":[34],"which":[35],"loses":[36],"dependence":[38],"between":[39,60,123,148],"various":[40],"parts.":[41,85],"So,":[42],"our":[43,204],"paper":[44,67,131],"proposes":[45],"structure":[47],"called":[48,110],"Part":[49],"Feature":[50,93,113],"Relationship":[51],"Extractor":[52,94,115],"(PFRE)":[53],"to":[54,76,98,119,140,180],"discover":[55],"all":[56],"relationships":[59,122],"each":[61,124],"parts":[62],"for":[63],"The":[66,200],"uses":[68],"PFRE":[69,80],"Convolutional":[72],"Neural":[73],"Network":[74],"(CNN)":[75],"form":[77],"RPNet.":[79],"is":[81,96,117,162],"divided":[82],"into":[83],"two":[84],"One":[86],"part":[87],"we":[89],"call":[90],"Total-Partial":[92],"(TPFE)":[95],"used":[97,118],"extract":[99],"features":[101],"different":[103],"scale":[104],"blocks,":[105],"other":[108],"part,":[109],"Adjacent":[112],"Relation":[114],"(AFRE),":[116],"find":[120],"block.":[125],"same":[128],"time,":[129],"adjusts":[132],"number":[134,150],"input":[136,152],"frames":[137,153],"during":[138],"training":[139],"perform":[141],"quantitative":[142],"experiments":[143],"finds":[145],"rule":[147],"performance":[156],"model.":[159],"Our":[160],"model":[161],"tested":[163],"on":[164,190],"three":[165],"public":[166],"datasets,":[168],"CASIA-B,":[169],"OU-LP":[170],"OU-MVLP.":[172],"It":[173],"exhibits":[174],"significant":[176],"level":[177,209],"robustness":[179],"occlusion":[181],"situations,":[182],"achieves":[184],"accuracies":[185],"92.82%":[187],"80.26%":[189],"CASIA-B":[191],"under":[192],"BG":[193],"#":[194,197],"CL":[196],"conditions,":[198],"respectively.":[199],"results":[201],"show":[202],"method":[205],"reaches":[206],"top":[208],"among":[210],"state-of-the-art":[211],"methods.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
