{"id":"https://openalex.org/W4403488710","doi":"https://doi.org/10.3233/faia240478","title":"An Animation-Based Augmentation Approach for Action Recognition from Discontinuous Video","display_name":"An Animation-Based Augmentation Approach for Action Recognition from Discontinuous Video","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403488710","doi":"https://doi.org/10.3233/faia240478"},"language":"en","primary_location":{"id":"doi:10.3233/faia240478","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240478","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240478","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240478","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101105160","display_name":"Xingyu Song","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xingyu Song","raw_affiliation_strings":["The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349193","display_name":"Zhan Li","orcid":"https://orcid.org/0000-0002-3928-1642"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhan Li","raw_affiliation_strings":["The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709711","display_name":"Shi Chen","orcid":"https://orcid.org/0000-0002-3524-3577"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shi Chen","raw_affiliation_strings":["The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029197051","display_name":"Xin-Qiang Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xin-Qiang Cai","raw_affiliation_strings":["The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018890280","display_name":"Kazuyuki Demachi","orcid":"https://orcid.org/0000-0002-4763-8509"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyuki Demachi","raw_affiliation_strings":["The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, songxingyu0429@gmail.com, lizhan@g.ecc.u-tokyo.ac.jp, shichen@g.ecc.u-tokyo.ac.jp, yypr9411@g.ecc.u-tokyo.ac.jp, cai@ms.k.u-tokyo.ac.jp","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101105160"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39194643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9710999727249146,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9603000283241272,"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/animation","display_name":"Animation","score":0.6504842042922974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6454420685768127},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5947507619857788},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5496422648429871},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4932817816734314},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4603005051612854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4576815962791443},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3233352601528168},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.035470277070999146}],"concepts":[{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.6504842042922974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6454420685768127},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5947507619857788},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5496422648429871},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4932817816734314},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4603005051612854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4576815962791443},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3233352601528168},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.035470277070999146},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240478","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240478","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240478","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240478","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240478","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240478","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403488710.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4310844315","https://openalex.org/W2532377291","https://openalex.org/W2000013817","https://openalex.org/W4296190881","https://openalex.org/W2103375294","https://openalex.org/W1823321090","https://openalex.org/W2378792725","https://openalex.org/W2215755978","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"Action":[0],"recognition,":[1],"an":[2],"essential":[3],"component":[4],"of":[5,50,60,80,169,190,196],"computer":[6],"vision,":[7],"plays":[8],"a":[9,37,78,184],"pivotal":[10],"role":[11],"in":[12,40,123,187],"multiple":[13,129],"applications.":[14],"Despite":[15],"significant":[16,185],"improvements":[17],"brought":[18],"by":[19,93],"Convolutional":[20],"Neural":[21],"Networks":[22],"(CNNs),":[23],"these":[24],"models":[25],"suffer":[26],"performance":[27,157,179],"declines":[28],"when":[29],"trained":[30],"with":[31,84,200],"discontinuous":[32],"video":[33],"frames,":[34],"which":[35,53,76],"is":[36,54],"frequent":[38],"scenario":[39],"real-world":[41,144,163],"settings.":[42],"This":[43,117],"decline":[44],"primarily":[45],"results":[46],"from":[47,89,128],"the":[48,58,69,138,149,170,188,201],"loss":[49],"temporal":[51],"continuity,":[52],"crucial":[55],"for":[56,98,108],"understanding":[57],"semantics":[59],"human":[61,86],"actions.":[62],"To":[63],"overcome":[64],"this":[65,132,197],"issue,":[66],"we":[67],"introduce":[68],"4A":[70,150],"(Action":[71],"Animation-based":[72],"Augmentation":[73],"Approach)":[74],"pipeline,":[75],"employs":[77],"series":[79],"sophisticated":[81],"techniques:":[82],"starting":[83],"2D":[85],"pose":[87],"estimation":[88],"RGB":[90],"videos,":[91,182],"followed":[92],"Quaternion-based":[94],"Graph":[95],"Convolution":[96],"Network":[97],"joint":[99],"orientation":[100],"and":[101,104,143,203],"trajectory":[102],"prediction,":[103],"Dynamic":[105],"Skeletal":[106],"Interpolation":[107],"creating":[109],"smoother,":[110],"diversified":[111],"actions":[112],"using":[113,162],"game":[114,125],"engine":[115],"technology.":[116],"innovative":[118],"approach":[119,176],"generates":[120],"realistic":[121],"animations":[122],"varied":[124],"environments,":[126],"viewed":[127],"viewpoints.":[130],"In":[131,146],"way,":[133],"our":[134,175],"method":[135],"effectively":[136],"bridges":[137],"domain":[139],"gap":[140],"between":[141],"virtual":[142],"data.":[145],"experimental":[147],"evaluations,":[148],"pipeline":[151],"achieves":[152],"comparable":[153],"or":[154],"even":[155],"superior":[156],"to":[158],"traditional":[159],"training":[160],"approaches":[161],"data,":[164,204],"while":[165],"requiring":[166],"only":[167],"10%":[168],"original":[171],"data":[172],"volume.":[173],"Additionally,":[174],"demonstrates":[177],"enhanced":[178],"on":[180],"In-the-wild":[181],"marking":[183],"advancement":[186],"field":[189],"action":[191],"recognition.":[192],"The":[193],"full":[194],"version":[195],"paper,":[198],"along":[199],"code":[202],"can":[205],"be":[206],"found":[207],"at":[208],"[41].":[209]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
