{"id":"https://openalex.org/W4286247476","doi":"https://doi.org/10.1109/icufn55119.2022.9829604","title":"Enhanced 3D Action Recognition Based on Deep Neural Network","display_name":"Enhanced 3D Action Recognition Based on Deep Neural Network","publication_year":2022,"publication_date":"2022-07-05","ids":{"openalex":"https://openalex.org/W4286247476","doi":"https://doi.org/10.1109/icufn55119.2022.9829604"},"language":"en","primary_location":{"id":"doi:10.1109/icufn55119.2022.9829604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn55119.2022.9829604","pdf_url":null,"source":{"id":"https://openalex.org/S4363608515","display_name":"2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)","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/A5102854314","display_name":"Sung\u2010Joo Park","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjoo Park","raw_affiliation_strings":["Korea Electronics Technology Institute(KETI),Information Media Research Center,Seoul,Korea","Information Media Research Center, Korea Electronics Technology Institute(KETI), Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute(KETI),Information Media Research Center,Seoul,Korea","institution_ids":["https://openalex.org/I4210131650"]},{"raw_affiliation_string":"Information Media Research Center, Korea Electronics Technology Institute(KETI), Seoul, Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026002542","display_name":"Dongchil Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongchil Kim","raw_affiliation_strings":["Korea Electronics Technology Institute(KETI),Information Media Research Center,Seoul,Korea","Information Media Research Center, Korea Electronics Technology Institute(KETI), Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute(KETI),Information Media Research Center,Seoul,Korea","institution_ids":["https://openalex.org/I4210131650"]},{"raw_affiliation_string":"Information Media Research Center, Korea Electronics Technology Institute(KETI), Seoul, Korea","institution_ids":["https://openalex.org/I4210131650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131650"],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34537445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"102","issue":null,"first_page":"470","last_page":"472"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8357621431350708},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.7008092403411865},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6892758011817932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857262849807739},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6212835311889648},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5928074717521667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5008506774902344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4933432638645172},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.47477957606315613},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.43355822563171387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41757458448410034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41654863953590393},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.35708683729171753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8357621431350708},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7008092403411865},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6892758011817932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857262849807739},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6212835311889648},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5928074717521667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5008506774902344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4933432638645172},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.47477957606315613},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.43355822563171387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41757458448410034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41654863953590393},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35708683729171753},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn55119.2022.9829604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn55119.2022.9829604","pdf_url":null,"source":{"id":"https://openalex.org/S4363608515","display_name":"2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.6800000071525574,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2008824967","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2169251375","https://openalex.org/W2173046955","https://openalex.org/W2601271987","https://openalex.org/W2944337667","https://openalex.org/W2964134613","https://openalex.org/W6735565194"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2964954556","https://openalex.org/W4303411729","https://openalex.org/W4211202157","https://openalex.org/W2507540959"],"abstract_inverted_index":{"In":[0,29,79],"the":[1,7,10,31,58,84,97,104,109,114],"video":[2,98],"surveillance":[3,62,99],"system":[4],"operating":[5],"in":[6,20,35,57],"real":[8,110],"environment,":[9],"recognition":[11,65,88,106,115],"of":[12,15,22,33,66,127],"detailed":[13,119],"behavior":[14,34],"objects":[16,45,67],"has":[17],"important":[18,50],"meaning":[19],"terms":[21],"understanding":[23],"whether":[24],"security":[25],"events":[26],"have":[27],"occurred.":[28],"particular,":[30],"perception":[32],"a":[36,73],"poor":[37],"environment":[38,111],"such":[39],"as":[40,48],"low":[41],"light":[42],"and":[43,113],"overlapped":[44],"is":[46],"recognized":[47],"an":[49,125],"technical":[51],"factor":[52],"that":[53],"must":[54],"be":[55,124],"overcome":[56],"existing":[59],"2D":[60],"image-based":[61],"system.":[63,100],"Action":[64],"using":[68,108],"3D":[69,86],"depth":[70],"map":[71],"provides":[72],"way":[74],"to":[75,123],"solve":[76],"these":[77],"issues.":[78],"this":[80],"paper,":[81],"we":[82,102],"propose":[83],"enhanced":[85],"action":[87,105],"method":[89],"based":[90],"on":[91],"convolution":[92],"neural":[93],"network":[94],"(CNN)":[95],"for":[96,117],"And":[101],"evaluated":[103],"performance":[107],"DB,":[112],"result":[116],"6":[118],"behaviors":[120],"was":[121],"confirmed":[122],"average":[126],"68.56%.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}