{"id":"https://openalex.org/W2985168869","doi":"https://doi.org/10.23919/iconac.2019.8894962","title":"An Improved Two-stream 3D Convolutional Neural Network for Human Action Recognition","display_name":"An Improved Two-stream 3D Convolutional Neural Network for Human Action Recognition","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2985168869","doi":"https://doi.org/10.23919/iconac.2019.8894962","mag":"2985168869"},"language":"en","primary_location":{"id":"doi:10.23919/iconac.2019.8894962","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8894962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","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/A5069820926","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0002-0044-714X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":["Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014140423","display_name":"Yuanping Xu","orcid":"https://orcid.org/0000-0002-4536-6220"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanping Xu","raw_affiliation_strings":["Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101538636","display_name":"Chaolong Zhang","orcid":"https://orcid.org/0000-0003-4990-4636"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaolong Zhang","raw_affiliation_strings":["Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745405","display_name":"Zhijie Xu","orcid":"https://orcid.org/0000-0002-0524-5926"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhijie Xu","raw_affiliation_strings":["University of Huddersfield, Queensgate,School of Computing &#x0026; Engineering,Huddersfield,UK","School of Computing & Engineering, University of Huddersfield, Queensgate, Huddersfield, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Huddersfield, Queensgate,School of Computing &#x0026; Engineering,Huddersfield,UK","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"School of Computing & Engineering, University of Huddersfield, Queensgate, Huddersfield, UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058397959","display_name":"Xiangxiang Meng","orcid":"https://orcid.org/0000-0002-2501-0761"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxiang Meng","raw_affiliation_strings":["Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440145","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-9663-3165"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","School of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu University of Information Technology,School of Software Engineering,Chengdu,China","institution_ids":["https://openalex.org/I24201400"]},{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6405,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.77975565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.8397033214569092},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7445986270904541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6935840249061584},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6925497651100159},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6400465965270996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6315390467643738},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6187169551849365},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5252919793128967},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5116561055183411},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.47327160835266113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37782198190689087},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3460523188114166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23220780491828918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8397033214569092},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7445986270904541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6935840249061584},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6925497651100159},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6400465965270996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6315390467643738},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6187169551849365},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5252919793128967},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5116561055183411},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.47327160835266113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37782198190689087},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3460523188114166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23220780491828918},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/iconac.2019.8894962","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8894962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/af53677e-7e58-4833-b922-6f6d24a6e08c","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85075794417&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chen, J, Xu, Y, Zhang, C, Xu, Z, Meng, X & Wang, J 2019, An Improved Two-stream 3D Convolutional Neural Network for Human Action Recognition. in H Yu (ed.), 2019 25th IEEE International Conference on Automation and Computing : Improving Productivity through Automation and Computing., 8894962, IEEE, 25th IEEE International Conference on Automation and Computing, Lancaster, United Kingdom, 5/09/19. https://doi.org/10.23919/IConAC.2019.8894962","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1522734439","https://openalex.org/W1595717062","https://openalex.org/W1871385855","https://openalex.org/W1923404803","https://openalex.org/W1944615693","https://openalex.org/W1947481528","https://openalex.org/W1983364832","https://openalex.org/W2016053056","https://openalex.org/W2024868105","https://openalex.org/W2105101328","https://openalex.org/W2119799051","https://openalex.org/W2126579184","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2342776425","https://openalex.org/W2472293097","https://openalex.org/W2507009361","https://openalex.org/W2553594924","https://openalex.org/W2566769621","https://openalex.org/W2799261915","https://openalex.org/W2951552696","https://openalex.org/W2963524571","https://openalex.org/W2964094092","https://openalex.org/W3003221972","https://openalex.org/W4300615141","https://openalex.org/W6635755983","https://openalex.org/W6639141586","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6704434313","https://openalex.org/W6724944384","https://openalex.org/W6729814214","https://openalex.org/W6731376936"],"related_works":["https://openalex.org/W2004108207","https://openalex.org/W2901551566","https://openalex.org/W4303411729","https://openalex.org/W4297270893","https://openalex.org/W2577671007","https://openalex.org/W1591216093","https://openalex.org/W2965803933","https://openalex.org/W2912100719","https://openalex.org/W4211202157","https://openalex.org/W2963330455"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,105],"obtain":[3],"global":[4],"contextual":[5],"information":[6,89,95,109],"precisely":[7],"from":[8,110],"videos":[9],"with":[10,27,92],"heavy":[11],"camera":[12],"motions":[13],"and":[14,68,121,125],"scene":[15],"changes,":[16],"this":[17,38],"study":[18,39],"proposes":[19],"an":[20],"improved":[21],"spatiotemporal":[22],"two-stream":[23,133],"neural":[24,102],"network":[25,44,55,103],"architecture":[26],"a":[28],"novel":[29],"convolutional":[30,101],"fusion":[31],"layer.":[32],"The":[33,113],"three":[34],"main":[35],"improvements":[36],"of":[37,52,60,77],"are:":[40],"1)":[41],"the":[42,49,53,64,73,87,93,97,111,126,131,142],"Resnet-101":[43],"has":[45],"been":[46],"integrated":[47,98],"into":[48],"two":[50,58,78],"streams":[51,79],"target":[54],"independently;":[56],"2)":[57],"kinds":[59],"feature":[61],"maps":[62],"(i.e.,":[63],"optical":[65],"flow":[66],"motion":[67],"RGB-channel":[69],"information)":[70],"obtained":[71],"by":[72,96,118],"corresponding":[74],"convolution":[75],"layer":[76],"respectively":[80],"are":[81],"superimposed":[82],"on":[83,141],"each":[84],"other;":[85],"3)":[86],"temporal":[88],"is":[90],"combined":[91],"spatial":[94],"three-dimensional":[99],"(3D)":[100],"(CNN)":[104],"extract":[106],"more":[107],"latent":[108],"videos.":[112],"proposed":[114,132],"approach":[115],"was":[116],"tested":[117],"using":[119],"UCF-101":[120],"HMDB51":[122],"benchmarking":[123],"datasets":[124],"experimental":[127],"results":[128],"show":[129],"that":[130],"3D":[134],"CNN":[135],"model":[136],"can":[137],"gain":[138],"substantial":[139],"improvement":[140],"recognition":[143],"rate":[144],"in":[145],"video-based":[146],"analysis.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
