{"id":"https://openalex.org/W2963536138","doi":"https://doi.org/10.1109/access.2018.2880231","title":"Viewpoint Invariant Action Recognition Using RGB-D Videos","display_name":"Viewpoint Invariant Action Recognition Using RGB-D Videos","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2963536138","doi":"https://doi.org/10.1109/access.2018.2880231","mag":"2963536138"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2880231","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2880231","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2880231","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100414731","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0003-3258-0380"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069697936","display_name":"Naveed Akhtar","orcid":"https://orcid.org/0000-0003-3406-673X"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Naveed Akhtar","raw_affiliation_strings":["Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3406-673X","affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089986388","display_name":"Ajmal Mian","orcid":"https://orcid.org/0000-0002-5206-3842"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ajmal Mian","raw_affiliation_strings":["Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, University of Western Australia, Crawley, WA, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177877127"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.936,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81457857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"70061","last_page":"70071"},"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9965000152587891,"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":0.8252557516098022},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8041057586669922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7619311809539795},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.708143949508667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6056703329086304},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5322871804237366},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.523967981338501},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.49630576372146606},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4936455488204956},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.46879467368125916},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.44102802872657776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.366621196269989},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10818731784820557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252557516098022},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8041057586669922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7619311809539795},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.708143949508667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6056703329086304},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5322871804237366},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.523967981338501},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.49630576372146606},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4936455488204956},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.46879467368125916},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.44102802872657776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.366621196269989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10818731784820557},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2018.2880231","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2880231","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/5ea6fc75-6e52-4de7-bf43-902da4434003","is_oa":true,"landing_page_url":"https://admin.research-repository.uwa.edu.au/en/publications/5ea6fc75-6e52-4de7-bf43-902da4434003","pdf_url":null,"source":{"id":"https://openalex.org/S4306402523","display_name":"UWA Profiles and Research Repository (University of Western Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Liu, J, Akhtar, N & Ajmal, M 2018, 'Viewpoint invariant action recognition using RGB-D videos', IEEE Access, vol. 6, 8529178, pp. 70061-70071. https://doi.org/10.1109/ACCESS.2018.2880231","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:publications/5ea6fc75-6e52-4de7-bf43-902da4434003","is_oa":true,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/5ea6fc75-6e52-4de7-bf43-902da4434003","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"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":"Liu , J , Akhtar , N &amp; Ajmal , M 2018 , ' Viewpoint invariant action recognition using RGB-D videos ' , IEEE Access , vol. 6 , 8529178 , pp. 70061-70071 . https://doi.org/10.1109/ACCESS.2018.2880231","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:7a1f1a8eed854c2ba4a4071994d3ef82","is_oa":true,"landing_page_url":"https://doaj.org/article/7a1f1a8eed854c2ba4a4071994d3ef82","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":"IEEE Access, Vol 6, Pp 70061-70071 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2880231","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2880231","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G6083251143","display_name":null,"funder_award_id":"DP 160101458","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1487322600","https://openalex.org/W1588788171","https://openalex.org/W1777221758","https://openalex.org/W1874503286","https://openalex.org/W1893516992","https://openalex.org/W1895914852","https://openalex.org/W1923332106","https://openalex.org/W1926974744","https://openalex.org/W1944615693","https://openalex.org/W1947481528","https://openalex.org/W1950788856","https://openalex.org/W1953802779","https://openalex.org/W1972283961","https://openalex.org/W1984219317","https://openalex.org/W2007057255","https://openalex.org/W2010243644","https://openalex.org/W2013076218","https://openalex.org/W2021150171","https://openalex.org/W2021733262","https://openalex.org/W2048821851","https://openalex.org/W2054041160","https://openalex.org/W2057232399","https://openalex.org/W2068611653","https://openalex.org/W2078157583","https://openalex.org/W2085735683","https://openalex.org/W2085900439","https://openalex.org/W2086663212","https://openalex.org/W2090834590","https://openalex.org/W2091911422","https://openalex.org/W2105101328","https://openalex.org/W2110819057","https://openalex.org/W2114216982","https://openalex.org/W2125854396","https://openalex.org/W2126574503","https://openalex.org/W2127271355","https://openalex.org/W2128053425","https://openalex.org/W2132467081","https://openalex.org/W2138232383","https://openalex.org/W2144380653","https://openalex.org/W2156135524","https://openalex.org/W2159001013","https://openalex.org/W2163605009","https://openalex.org/W2166070055","https://openalex.org/W2169560406","https://openalex.org/W2254969944","https://openalex.org/W2309561466","https://openalex.org/W2465488276","https://openalex.org/W2510185399","https://openalex.org/W2536349189","https://openalex.org/W2561057809","https://openalex.org/W2563154851","https://openalex.org/W2578257192","https://openalex.org/W2606294640","https://openalex.org/W2613570903","https://openalex.org/W2736643867","https://openalex.org/W2776684894","https://openalex.org/W2950094539","https://openalex.org/W2964134613","https://openalex.org/W4230005465","https://openalex.org/W6629032133","https://openalex.org/W6635070415","https://openalex.org/W6639350877","https://openalex.org/W6640754710","https://openalex.org/W6641080644","https://openalex.org/W6646495098","https://openalex.org/W6672997307","https://openalex.org/W6677265961","https://openalex.org/W6684191040","https://openalex.org/W6725062358","https://openalex.org/W6731216479"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W93537448","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W2797752778","https://openalex.org/W2295006769","https://openalex.org/W2004108207","https://openalex.org/W2182357018"],"abstract_inverted_index":{"Due":[0],"to":[1,40,55,63,73,80,97,112,131,202],"the":[2,5,29,47,51,70,92,114,121,133,136,155,159,162,166,169,175,206],"differences":[3],"in":[4,14,19,32,50,65,205],"appearance":[6],"of":[7,37,135,158,165,177],"an":[8],"action":[9,24,57],"from":[10,120],"different":[11],"viewpoints,":[12],"variations":[13,64],"camera":[15,66],"viewpoints":[16],"often":[17],"result":[18],"major":[20],"problems":[21],"for":[22],"video-based":[23],"recognition.":[25],"This":[26],"paper":[27],"exploits":[28],"complementary":[30],"information":[31,49],"RGB":[33,71],"and":[34,126,161,188],"Depth":[35,93],"streams":[36,54,123],"RGB-D":[38],"videos":[39],"address":[41],"those":[42],"problems.":[43],"We":[44,68],"capitalize":[45],"on":[46,105,184],"spatio-temporal":[48],"two":[52,122],"data":[53,72],"extract":[56,98],"features":[58,84,104,119],"that":[59,77,140,150,197],"are":[60,78,124],"largely":[61],"insensitive":[62,82],"viewpoints.":[67],"use":[69],"compute":[74],"dense":[75,160],"trajectories":[76],"translated":[79],"viewpoint":[81],"deep":[83],"under":[85],"a":[86,129,144,152],"non-linear":[87],"knowledge":[88],"transfer":[89],"model.":[90],"Similarly,":[91],"stream":[94],"is":[95,110],"used":[96,127],"convolutional":[99],"neural":[100],"network-based":[101],"view":[102],"invariant":[103],"which":[106],"Fourier":[107],"Temporal":[108],"Pyramid":[109],"computed":[111],"incorporate":[113],"temporal":[115],"information.":[116],"The":[117],"heterogeneous":[118,171],"combined":[125],"as":[128],"dictionary":[130],"predict":[132],"label":[134],"test":[137],"samples.":[138],"To":[139,173],"end,":[141],"we":[142,180],"propose":[143],"sparse-dense":[145],"collaborative":[146],"representation":[147],"classification":[148],"scheme":[149],"strikes":[151],"balance":[153],"between":[154],"discriminative":[156],"abilities":[157],"sparse":[163],"representations":[164],"samples":[167],"over":[168,208],"extracted":[170],"dictionary.":[172],"establish":[174],"effectiveness":[176],"our":[178,198],"approach,":[179],"evaluate":[181],"its":[182,209],"performance":[183],"three":[185],"public":[186],"datasets":[187],"benchmark":[189],"it":[190],"against":[191],"12":[192],"existing":[193],"techniques.":[194],"Experiments":[195],"demonstrate":[196],"approach":[199],"achieves":[200],"up":[201],"7.7%":[203],"improvement":[204],"accuracy":[207],"nearest":[210],"competitor.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
