{"id":"https://openalex.org/W2666547004","doi":"https://doi.org/10.1109/ijcnn.2017.7966210","title":"Recent advances in video-based human action recognition using deep learning: A review","display_name":"Recent advances in video-based human action recognition using deep learning: A review","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2666547004","doi":"https://doi.org/10.1109/ijcnn.2017.7966210","mag":"2666547004"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"review","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/A5100599890","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4753-8161"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Di Wu","raw_affiliation_strings":["School of Software, University of Technology, Sydney, New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software, University of Technology, Sydney, New South Wales, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008754736","display_name":"Nabin Sharma","orcid":"https://orcid.org/0000-0003-0841-1245"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nabin Sharma","raw_affiliation_strings":["School of Software, University of Technology, Sydney, New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software, University of Technology, Sydney, New South Wales, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045600512","display_name":"Michael Blumenstein","orcid":"https://orcid.org/0000-0002-9908-3744"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Blumenstein","raw_affiliation_strings":["School of Software, University of Technology, Sydney, New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software, University of Technology, Sydney, New South Wales, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100599890"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":5.268,"has_fulltext":false,"cited_by_count":166,"citation_normalized_percentile":{"value":0.97348327,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2865","last_page":"2872"},"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":0.9983000159263611,"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":0.996999979019165,"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":0.8251761794090271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7469176650047302},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7400109171867371},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6372190713882446},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5858834385871887},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5183497667312622},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5075267553329468},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5025396347045898},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4834485948085785},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4788132309913635},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43947833776474},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4347293972969055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40037795901298523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35527101159095764},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3528607189655304},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2372644543647766},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.07349827885627747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8251761794090271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7469176650047302},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7400109171867371},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6372190713882446},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5858834385871887},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5183497667312622},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5075267553329468},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5025396347045898},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4834485948085785},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4788132309913635},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43947833776474},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4347293972969055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40037795901298523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35527101159095764},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3528607189655304},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2372644543647766},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.07349827885627747},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/106067","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/106067","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W28988658","https://openalex.org/W846669277","https://openalex.org/W1513753641","https://openalex.org/W1520854714","https://openalex.org/W1525638028","https://openalex.org/W1605811577","https://openalex.org/W1744759976","https://openalex.org/W1910567995","https://openalex.org/W1944615693","https://openalex.org/W1950788856","https://openalex.org/W1967241879","https://openalex.org/W1975325338","https://openalex.org/W1980948575","https://openalex.org/W1981781955","https://openalex.org/W1983364832","https://openalex.org/W1994792317","https://openalex.org/W1997018215","https://openalex.org/W2000059041","https://openalex.org/W2010399676","https://openalex.org/W2013076218","https://openalex.org/W2019245255","https://openalex.org/W2019660985","https://openalex.org/W2020163092","https://openalex.org/W2034014085","https://openalex.org/W2034328688","https://openalex.org/W2052648922","https://openalex.org/W2054041160","https://openalex.org/W2065101345","https://openalex.org/W2065278473","https://openalex.org/W2065502920","https://openalex.org/W2066132206","https://openalex.org/W2069622342","https://openalex.org/W2073212499","https://openalex.org/W2085735683","https://openalex.org/W2086509056","https://openalex.org/W2087864767","https://openalex.org/W2097437738","https://openalex.org/W2097451239","https://openalex.org/W2098339052","https://openalex.org/W2100573769","https://openalex.org/W2106233887","https://openalex.org/W2106996050","https://openalex.org/W2107962625","https://openalex.org/W2110142955","https://openalex.org/W2111045798","https://openalex.org/W2113856781","https://openalex.org/W2114484845","https://openalex.org/W2115213191","https://openalex.org/W2120362657","https://openalex.org/W2125337786","https://openalex.org/W2126579184","https://openalex.org/W2134067070","https://openalex.org/W2139019684","https://openalex.org/W2142194269","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2148958980","https://openalex.org/W2153756422","https://openalex.org/W2156303437","https://openalex.org/W2164760349","https://openalex.org/W2165344714","https://openalex.org/W2165715280","https://openalex.org/W2166267120","https://openalex.org/W2206427987","https://openalex.org/W2259801182","https://openalex.org/W2290727245","https://openalex.org/W2306289963","https://openalex.org/W2331128040","https://openalex.org/W2338957958","https://openalex.org/W2344034899","https://openalex.org/W2533739470","https://openalex.org/W2598802886","https://openalex.org/W2963125871","https://openalex.org/W2963149042","https://openalex.org/W2963274633","https://openalex.org/W2964191259","https://openalex.org/W4249279051","https://openalex.org/W4297772798","https://openalex.org/W6630841690","https://openalex.org/W6631331631","https://openalex.org/W6636038317","https://openalex.org/W6640754710","https://openalex.org/W6676671045","https://openalex.org/W6680835844","https://openalex.org/W6682864246","https://openalex.org/W6685670348","https://openalex.org/W6691096134","https://openalex.org/W6698113398","https://openalex.org/W6702130928","https://openalex.org/W6704310024"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2348524959","https://openalex.org/W2518037665","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2952704802","https://openalex.org/W2901551566","https://openalex.org/W2542376432","https://openalex.org/W2004108207","https://openalex.org/W3181401746"],"abstract_inverted_index":{"Video-based":[0],"human":[1,49,111,132],"action":[2,50,112,133],"recognition":[3,21,51,113],"has":[4,26],"become":[5],"one":[6],"of":[7,16,30,69,84,103,118,122,139],"the":[8,14,76,79,115,123,127],"most":[9],"popular":[10],"research":[11],"areas":[12],"in":[13,22,48,52,130],"field":[15],"computer":[17],"vision":[18],"and":[19,40,63,91,126,142],"pattern":[20],"recent":[23,128],"years.":[24],"It":[25],"a":[27,101],"wide":[28],"variety":[29],"applications":[31],"such":[32,54],"as":[33,55],"surveillance,":[34],"robotics,":[35],"health":[36],"care,":[37],"video":[38],"searching":[39],"human-computer":[41],"interaction.":[42],"There":[43],"are":[44,94],"many":[45],"challenges":[46,77],"involved":[47],"videos,":[53,93],"cluttered":[56],"backgrounds,":[57],"occlusions,":[58],"viewpoint":[59,90],"variation,":[60],"execution":[61],"rate,":[62],"camera":[64],"motion.":[65],"A":[66],"large":[67],"number":[68],"techniques":[70,108],"have":[71],"been":[72],"proposed":[73,109],"to":[74,148],"address":[75],"over":[78],"decades.":[80],"Three":[81],"different":[82],"types":[83,117],"datasets":[85],"namely,":[86],"single":[87],"viewpoint,":[88],"multiple":[89],"RGB-depth":[92],"used":[95],"for":[96,110,145],"research.":[97],"This":[98],"paper":[99],"presents":[100],"review":[102,136],"various":[104],"state-of-the-art":[105],"deep":[106],"learning-based":[107],"on":[114],"three":[116],"datasets.":[119],"In":[120],"light":[121],"growing":[124],"popularity":[125],"developments":[129],"video-based":[131],"recognition,":[134],"this":[135],"imparts":[137],"details":[138],"current":[140],"trends":[141],"potential":[143],"directions":[144],"future":[146],"work":[147],"assist":[149],"researchers.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}