{"id":"https://openalex.org/W2910875514","doi":"https://doi.org/10.1109/dicta.2018.8615804","title":"Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos","display_name":"Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2910875514","doi":"https://doi.org/10.1109/dicta.2018.8615804","mag":"2910875514"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2018.8615804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10453/134654","any_repository_has_fulltext":true},"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 Ultimo, New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software, University of Technology, Sydney Ultimo, 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 Ultimo, New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software, University of Technology, Sydney Ultimo, 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 Ultimo, New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"School of Software, University of Technology, Sydney Ultimo, 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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17082969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"313","issue":null,"first_page":"1","last_page":"7"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9961000084877014,"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/gesture","display_name":"Gesture","score":0.8387247920036316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.834659993648529},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.747786283493042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7474818825721741},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7056540846824646},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5220115780830383},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4780588448047638},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.4509049952030182},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4383324682712555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43057942390441895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42826423048973083},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4123750925064087},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3523741364479065},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2316613793373108}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8387247920036316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.834659993648529},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.747786283493042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7474818825721741},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7056540846824646},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5220115780830383},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4780588448047638},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4509049952030182},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4383324682712555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43057942390441895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42826423048973083},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4123750925064087},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3523741364479065},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2316613793373108}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2018.8615804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2018.8615804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/134654","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/134654","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/134654","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/134654","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1570448133","https://openalex.org/W1926645898","https://openalex.org/W1983364832","https://openalex.org/W2034328688","https://openalex.org/W2100495367","https://openalex.org/W2116435618","https://openalex.org/W2117130368","https://openalex.org/W2126579184","https://openalex.org/W2137664016","https://openalex.org/W2145038566","https://openalex.org/W2156303437","https://openalex.org/W2235034809","https://openalex.org/W2271840356","https://openalex.org/W2306289963","https://openalex.org/W2331128040","https://openalex.org/W2342662179","https://openalex.org/W2412782625","https://openalex.org/W2626212608","https://openalex.org/W2746726611","https://openalex.org/W2765322173","https://openalex.org/W2919115771","https://openalex.org/W2963125871","https://openalex.org/W4249279051","https://openalex.org/W4297772798","https://openalex.org/W6682864246","https://openalex.org/W6689710714","https://openalex.org/W6691096134","https://openalex.org/W6698113398","https://openalex.org/W6702130928"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"Recognizing":[0],"human":[1,56,88,154],"actions":[2,65,72,89,155],"from":[3],"the":[4,11,23,84,138,147,152,157,164,174],"video":[5,42],"streams":[6],"has":[7],"become":[8],"one":[9,114],"of":[10,86],"very":[12,75],"popular":[13],"research":[14],"areas":[15],"in":[16,22,31,34,52,171],"computer":[17],"vision":[18],"and":[19,44,49,69,95,116,145],"deep":[20],"learning":[21],"recent":[24],"years.":[25],"Action":[26],"recognition":[27,58],"is":[28,73],"wildly":[29],"used":[30],"different":[32],"scenarios":[33],"real":[35],"life,":[36],"such":[37],"as":[38,124],"surveillance,":[39],"robotics,":[40],"healthcare,":[41],"indexing":[43],"human-computer":[45],"interaction.":[46],"The":[47,105,160],"challenges":[48],"complexity":[50],"involved":[51],"developing":[53],"a":[54,74,97,125],"video-based":[55],"action":[57],"system":[59],"are":[60,133],"manifold.":[61],"In":[62,128],"particular,":[63],"recognizing":[64],"with":[66,120],"similar":[67,102,110,130,153],"gestures":[68],"describing":[70],"complex":[71],"challenging":[76],"problem.":[77],"To":[78],"address":[79],"these":[80],"issues,":[81],"we":[82],"study":[83],"problem":[85,139],"classifying":[87],"using":[90],"Convolutional":[91],"Neural":[92],"Networks":[93],"(CNN)":[94],"develop":[96],"hierarchical":[98],"3DCNN":[99],"architecture":[100],"for":[101],"gesture":[103,111,131],"recognition.":[104],"proposed":[106,165],"model":[107,166],"firstly":[108],"combines":[109],"pairs":[112,132],"into":[113],"class,":[115,123],"classify":[117],"them":[118],"along":[119],"all":[121],"other":[122],"stage-1":[126],"classification.":[127,142],"stage-2,":[129],"classified":[134],"individually,":[135],"which":[136],"reduces":[137],"to":[140,150,173],"binary":[141],"We":[143],"apply":[144],"evaluate":[146],"developed":[148],"models":[149],"recognize":[151],"on":[156],"HMDB51":[158],"dataset.":[159],"result":[161],"shows":[162],"that":[163],"can":[167],"achieve":[168],"high":[169],"performance":[170],"comparison":[172],"state-of-the-art":[175],"methods.":[176]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}