{"id":"https://openalex.org/W2897682634","doi":"https://doi.org/10.1145/3240508.3240675","title":"A Large-scale RGB-D Database for Arbitrary-view Human Action Recognition","display_name":"A Large-scale RGB-D Database for Arbitrary-view Human Action Recognition","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2897682634","doi":"https://doi.org/10.1145/3240508.3240675","mag":"2897682634"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","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/A5068950059","display_name":"Yanli Ji","orcid":"https://orcid.org/0000-0001-9122-6141"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Ji","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012475134","display_name":"Feixiang Xu","orcid":"https://orcid.org/0000-0003-2734-1924"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feixiang Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397616","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5070-4511"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074492050","display_name":"Fumin Shen","orcid":"https://orcid.org/0000-0001-7303-3231"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fumin Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1510","last_page":"1518"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9965999722480774,"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/viewpoints","display_name":"Viewpoints","score":0.8268240690231323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7645266056060791},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7456541657447815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6448550224304199},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6245574355125427},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5822737216949463},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.539160966873169},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4712900221347809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.418438583612442},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4179367125034332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40419989824295044}],"concepts":[{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.8268240690231323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645266056060791},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7456541657447815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6448550224304199},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6245574355125427},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5822737216949463},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.539160966873169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4712900221347809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.418438583612442},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4179367125034332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40419989824295044},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240508.3240675","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W26349190","https://openalex.org/W1599220855","https://openalex.org/W1777221758","https://openalex.org/W1777628566","https://openalex.org/W1790649466","https://openalex.org/W1874503286","https://openalex.org/W1893516992","https://openalex.org/W1926974744","https://openalex.org/W1972283961","https://openalex.org/W1977646036","https://openalex.org/W1980176153","https://openalex.org/W2008771257","https://openalex.org/W2010243644","https://openalex.org/W2013076218","https://openalex.org/W2054041160","https://openalex.org/W2057232399","https://openalex.org/W2059285180","https://openalex.org/W2090834590","https://openalex.org/W2110819057","https://openalex.org/W2136399672","https://openalex.org/W2159001013","https://openalex.org/W2159797991","https://openalex.org/W2166070055","https://openalex.org/W2211589372","https://openalex.org/W2333112450","https://openalex.org/W2465488276","https://openalex.org/W2504559372","https://openalex.org/W2519711346","https://openalex.org/W2523823124","https://openalex.org/W2550143307","https://openalex.org/W2588413703","https://openalex.org/W2589266112","https://openalex.org/W2593146028","https://openalex.org/W2597234334","https://openalex.org/W2613570903","https://openalex.org/W2621211747","https://openalex.org/W2665436006","https://openalex.org/W2735947006","https://openalex.org/W2784435047","https://openalex.org/W2799177530","https://openalex.org/W2803620531","https://openalex.org/W2962934715","https://openalex.org/W2963076818","https://openalex.org/W2964134613","https://openalex.org/W4230005465","https://openalex.org/W4237853400"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2004108207","https://openalex.org/W2901551566","https://openalex.org/W2295006769"],"abstract_inverted_index":{"Current":[0],"researches":[1],"mainly":[2],"focus":[3],"on":[4],"single-view":[5],"and":[6,55,68,89,102,128],"multiview":[7],"human":[8],"action":[9,45,49,61,87,130,146],"recognition,":[10],"which":[11,71],"can":[12],"hardly":[13],"satisfy":[14],"the":[15,73,112,116,142,152],"requirements":[16],"of":[17,30,106,144],"human-robot":[18],"interaction":[19],"(HRI)":[20],"applications":[21],"to":[22,84,140],"recognize":[23],"actions":[24],"from":[25],"arbitrary":[26],"views.":[27],"The":[28,58,121],"lack":[29],"databases":[31],"also":[32],"sets":[33],"up":[34],"barriers.":[35],"In":[36,78],"this":[37],"paper,":[38],"we":[39,133],"newly":[40],"collect":[41],"a":[42,103,135],"large-scale":[43],"RGB-D":[44],"database":[46,59,96,114,122],"for":[47,126],"arbitrary-view":[48,129,145],"analysis,":[50],"including":[51],"RGB":[52],"videos,":[53],"depth":[54],"skeleton":[56],"sequences.":[57,120],"includes":[60],"samples":[62,92],"captured":[63],"in":[64],"8":[65],"fixed":[66],"viewpoints":[67,101],"varying-view":[69,119],"sequences":[70],"covers":[72],"entire":[74,117],"360":[75],"view":[76],"angles.":[77],"total,":[79],"118":[80],"persons":[81],"are":[82,93],"invited":[83],"act":[85],"40":[86],"categories,":[88],"25,600":[90],"video":[91],"collected.":[94],"Our":[95],"involves":[97],"more":[98,100],"articipants,":[99],"large":[104],"number":[105],"samples.":[107],"More":[108],"importantly,":[109],"it":[110],"is":[111],"first":[113],"containing":[115],"360?":[118],"provides":[123],"sufficient":[124],"data":[125],"cross-view":[127],"analysis.":[131],"Besides,":[132],"propose":[134],"View-guided":[136],"Skeleton":[137],"CNN":[138],"(VS-CNN)":[139],"tackle":[141],"problem":[143],"recognition.":[147],"Experiment":[148],"results":[149],"show":[150],"that":[151],"VS-CNN":[153],"achieves":[154],"superior":[155],"performance.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
