{"id":"https://openalex.org/W4310079529","doi":"https://doi.org/10.1007/s40747-022-00914-3","title":"Two-stream temporal enhanced Fisher vector encoding for skeleton-based action recognition","display_name":"Two-stream temporal enhanced Fisher vector encoding for skeleton-based action recognition","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4310079529","doi":"https://doi.org/10.1007/s40747-022-00914-3"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-022-00914-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00914-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00914-3.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00914-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063658399","display_name":"Jun Tang","orcid":"https://orcid.org/0000-0002-9135-3615"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]},{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Tang","raw_affiliation_strings":["College of Animation and Communication, Qingdao Agricultural University, Qingdao, 266109, China","College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Animation and Communication, Qingdao Agricultural University, Qingdao, 266109, China","institution_ids":["https://openalex.org/I146773158"]},{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091703383","display_name":"Baodi Liu","orcid":"https://orcid.org/0000-0002-1408-5514"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baodi Liu","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010672227","display_name":"Wenhui Guo","orcid":"https://orcid.org/0000-0002-3485-988X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Guo","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101722534","display_name":"Yanjiang Wang","orcid":"https://orcid.org/0000-0001-9910-7884"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjiang Wang","raw_affiliation_strings":["College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063658399"],"corresponding_institution_ids":["https://openalex.org/I146773158","https://openalex.org/I4210162190"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.2042,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49569824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"3","first_page":"3147","last_page":"3159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9952999949455261,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9872999787330627,"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/discriminative-model","display_name":"Discriminative model","score":0.7862781286239624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7385401725769043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.681603193283081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537094116210938},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6430808901786804},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6190953254699707},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5361848473548889},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49539148807525635},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4494292140007019},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4465571641921997},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.44215822219848633},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41949793696403503},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41820189356803894}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7862781286239624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7385401725769043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.681603193283081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537094116210938},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6430808901786804},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6190953254699707},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5361848473548889},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49539148807525635},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4494292140007019},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4465571641921997},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.44215822219848633},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41949793696403503},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41820189356803894},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"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":2,"locations":[{"id":"doi:10.1007/s40747-022-00914-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00914-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00914-3.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:afb80a562420478fb94814c5229cd330","is_oa":true,"landing_page_url":"https://doaj.org/article/afb80a562420478fb94814c5229cd330","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 9, Iss 3, Pp 3147-3159 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-022-00914-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00914-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00914-3.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1225319581","display_name":null,"funder_award_id":"20CX05001A","funder_id":"https://openalex.org/F4320321547","funder_display_name":"China University of Petroleum, Beijing"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1790165614","display_name":null,"funder_award_id":"62072468","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1900143600","display_name":null,"funder_award_id":"20CX05001A","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2335360996","display_name":null,"funder_award_id":"ZR2019MF073","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2696157397","display_name":null,"funder_award_id":"ZR201","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3497226477","display_name":null,"funder_award_id":"ZR2019","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4668466387","display_name":null,"funder_award_id":"6207246","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5551941338","display_name":null,"funder_award_id":"ZR2019MF073","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321547","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310079529.pdf","grobid_xml":"https://content.openalex.org/works/W4310079529.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W136504859","https://openalex.org/W1606858007","https://openalex.org/W1957706851","https://openalex.org/W1966385142","https://openalex.org/W2105101328","https://openalex.org/W2147238549","https://openalex.org/W2192643373","https://openalex.org/W2342662179","https://openalex.org/W2510185399","https://openalex.org/W2521041279","https://openalex.org/W2604321021","https://openalex.org/W2612707971","https://openalex.org/W2613570903","https://openalex.org/W2802979841","https://openalex.org/W2914177721","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2945143046","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2950568498","https://openalex.org/W2963076818","https://openalex.org/W2963155035","https://openalex.org/W2963282966","https://openalex.org/W2963315828","https://openalex.org/W2963369114","https://openalex.org/W2963465695","https://openalex.org/W2964134613","https://openalex.org/W2985061404","https://openalex.org/W2987036866","https://openalex.org/W2990152177","https://openalex.org/W2996835428","https://openalex.org/W2997769980","https://openalex.org/W3034999503","https://openalex.org/W3035225512","https://openalex.org/W3047772167","https://openalex.org/W3092754310","https://openalex.org/W3093411241","https://openalex.org/W3099014939","https://openalex.org/W3106350522","https://openalex.org/W3127009839","https://openalex.org/W3133787995","https://openalex.org/W3165224498","https://openalex.org/W3185273257","https://openalex.org/W3197693316","https://openalex.org/W3207864173","https://openalex.org/W4206253309","https://openalex.org/W4230005465"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W2146591867","https://openalex.org/W2075383893","https://openalex.org/W2004108207","https://openalex.org/W2182357018","https://openalex.org/W156213964","https://openalex.org/W2050960118"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"key":[2],"to":[3,9,23,52,60,77,89,115,163],"skeleton-based":[4,28,173],"action":[5,29,137,174],"recognition":[6],"is":[7,75,96],"how":[8],"extract":[10],"discriminative":[11,118],"features":[12,39],"from":[13],"skeleton":[14],"data.":[15],"Recently,":[16],"graph":[17],"convolutional":[18],"networks":[19],"(GCNs)":[20],"are":[21],"proven":[22],"be":[24],"highly":[25],"successful":[26],"for":[27,172],"recognition.":[30],"However,":[31,68],"existing":[32],"GCN-based":[33],"methods":[34],"focus":[35],"on":[36],"extracting":[37],"robust":[38],"while":[40],"neglecting":[41],"the":[42,63,70,79,131,135,156,160,166],"information":[43,64,92,133],"of":[44,65,82,93,134],"feature":[45,66],"distributions.":[46,67],"In":[47],"this":[48,103],"work,":[49],"we":[50,105,148],"aim":[51],"introduce":[53],"Fisher":[54,84,110],"vector":[55,85,111],"(FV)":[56],"encoding":[57,86,112],"into":[58],"GCN":[59,161],"effectively":[61],"utilize":[62],"since":[69],"Gaussian":[71],"Mixture":[72],"Model":[73],"(GMM)":[74],"employed":[76],"fit":[78],"global":[80],"distribution":[81],"features,":[83],"inevitably":[87],"leads":[88],"losing":[90],"temporal":[91,108,132,145],"actions,":[94],"which":[95],"demonstrated":[97],"by":[98,154],"our":[99,124,181],"analysis.":[100],"To":[101],"tackle":[102],"problem,":[104],"propose":[106,149],"a":[107,150],"enhanced":[109],"algorithm":[113],"(TEFV)":[114],"provide":[116],"more":[117],"visual":[119],"representation.":[120],"Compared":[121],"with":[122,159],"FV,":[123],"TEFV":[125,157],"model":[126,158,162,182],"can":[127],"not":[128],"only":[129],"preserve":[130],"entire":[136],"but":[138],"also":[139],"capture":[140],"fine-grained":[141],"spatial":[142],"configurations":[143],"and":[144,178],"dynamics.":[146],"Moreover,":[147],"two-stream":[151],"framework":[152],"(2sTEFV-GCN)":[153],"combining":[155],"further":[164],"improve":[165],"performance.":[167,185],"On":[168],"two":[169],"large-scale":[170],"datasets":[171],"recognition,":[175],"NTU-RGB+D":[176,179],"60":[177],"120,":[180],"achieves":[183],"state-of-the-art":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
