{"id":"https://openalex.org/W2924986595","doi":"https://doi.org/10.3390/s19061382","title":"Contextual Action Cues from Camera Sensor for Multi-Stream Action Recognition","display_name":"Contextual Action Cues from Camera Sensor for Multi-Stream Action Recognition","publication_year":2019,"publication_date":"2019-03-20","ids":{"openalex":"https://openalex.org/W2924986595","doi":"https://doi.org/10.3390/s19061382","mag":"2924986595","pmid":"https://pubmed.ncbi.nlm.nih.gov/30897792"},"language":"en","primary_location":{"id":"doi:10.3390/s19061382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19061382","pdf_url":"https://www.mdpi.com/1424-8220/19/6/1382/pdf?version=1553078529","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/6/1382/pdf?version=1553078529","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038448718","display_name":"Jongkwang Hong","orcid":"https://orcid.org/0000-0002-9961-2351"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongkwang Hong","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul 03722, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007747756","display_name":"Bora Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bora Cho","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul 03722, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110886196","display_name":"Yong Woo Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Won Hong","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul 03722, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049739329","display_name":"Hyeran Byun","orcid":"https://orcid.org/0000-0002-3082-3214"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyeran Byun","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul 03722, Korea"],"raw_orcid":"https://orcid.org/0000-0002-3082-3214","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049739329"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.2247,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83125089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"19","issue":"6","first_page":"1382","last_page":"1382"},"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":0.9987999796867371,"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":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.814612865447998},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.7225623726844788},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.7015832662582397},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6426519155502319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6267015337944031},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5564346313476562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.535297691822052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46983951330184937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4528917670249939},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3203558325767517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.814612865447998},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7225623726844788},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.7015832662582397},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6426519155502319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6267015337944031},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5564346313476562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.535297691822052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46983951330184937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4528917670249939},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3203558325767517},{"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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19061382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19061382","pdf_url":"https://www.mdpi.com/1424-8220/19/6/1382/pdf?version=1553078529","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:30897792","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30897792","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b67b8969b0ac4273b89714816e87ed2a","is_oa":true,"landing_page_url":"https://doaj.org/article/b67b8969b0ac4273b89714816e87ed2a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 6, p 1382 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5465217","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6471330","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/6/1382/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19061382","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19061382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19061382","pdf_url":"https://www.mdpi.com/1424-8220/19/6/1382/pdf?version=1553078529","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2163287210","display_name":null,"funder_award_id":"NRF-2017M3C4A7069370","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2208754038","display_name":null,"funder_award_id":"2017M3C4A7069370","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2924986595.pdf","grobid_xml":"https://content.openalex.org/works/W2924986595.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W639708223","https://openalex.org/W1522734439","https://openalex.org/W1578985305","https://openalex.org/W1861492603","https://openalex.org/W1912967058","https://openalex.org/W1923404803","https://openalex.org/W2016053056","https://openalex.org/W2064675550","https://openalex.org/W2114361838","https://openalex.org/W2117539524","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2128554449","https://openalex.org/W2131846894","https://openalex.org/W2156303437","https://openalex.org/W2161969291","https://openalex.org/W2214124602","https://openalex.org/W2308045930","https://openalex.org/W2342662179","https://openalex.org/W2343590725","https://openalex.org/W2507009361","https://openalex.org/W2519080876","https://openalex.org/W2585724928","https://openalex.org/W2607101357","https://openalex.org/W2619947201","https://openalex.org/W2746726611","https://openalex.org/W2779380177","https://openalex.org/W2903273903","https://openalex.org/W2952186347","https://openalex.org/W2963097937","https://openalex.org/W2963150697","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W2964225075","https://openalex.org/W6634902294","https://openalex.org/W6683411478"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2486460843","https://openalex.org/W2730112582","https://openalex.org/W2168109476","https://openalex.org/W2110696645","https://openalex.org/W1576128429","https://openalex.org/W2004108207","https://openalex.org/W193124247","https://openalex.org/W2269464716"],"abstract_inverted_index":{"In":[0],"action":[1,27,104,126],"recognition":[2,127],"research,":[3],"two":[4,124],"primary":[5],"types":[6],"of":[7,35,55,141],"information":[8,13,40,46,60],"are":[9],"appearance":[10],"and":[11,97],"motion":[12],"that":[14],"is":[15,58],"learned":[16],"from":[17,63],"RGB":[18],"images":[19],"through":[20],"visual":[21],"sensors.":[22],"However,":[23],"depending":[24],"on":[25,84,108],"the":[26,33,42,49,53,56,89,101,109,139],"characteristics,":[28],"contextual":[29,98],"information,":[30],"such":[31],"as":[32,77,119],"existence":[34,54],"specific":[36],"objects":[37],"or":[38,114],"globally-shared":[39],"in":[41,100,136],"image,":[43],"becomes":[44],"vital":[45,59],"to":[47,80],"define":[48],"action.":[50],"For":[51],"example,":[52],"ball":[57],"distinguishing":[61],"\"kicking\"":[62],"\"running\".":[64],"Furthermore,":[65],"some":[66],"actions":[67],"share":[68],"typical":[69],"global":[70],"abstract":[71],"poses,":[72],"which":[73,93],"can":[74],"be":[75],"used":[76],"a":[78,120,130],"key":[79],"classify":[81],"actions.":[82],"Based":[83],"these":[85],"observations,":[86],"we":[87,132],"propose":[88],"multi-stream":[90],"network":[91],"model,":[92],"incorporates":[94],"spatial,":[95],"temporal,":[96],"cues":[99],"image":[102],"for":[103],"recognition.":[105],"We":[106],"experimented":[107],"proposed":[110,143],"method":[111],"using":[112],"C3D":[113],"inflated":[115],"3D":[116],"ConvNet":[117],"(I3D)":[118],"backbone":[121],"network,":[122],"regarding":[123],"different":[125],"datasets.":[128],"As":[129],"result,":[131],"observed":[133],"overall":[134],"improvement":[135],"accuracy,":[137],"demonstrating":[138],"effectiveness":[140],"our":[142],"method.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
