{"id":"https://openalex.org/W2792969342","doi":"https://doi.org/10.1109/access.2018.2815611","title":"Cross-View Action Recognition Based on Hierarchical View-Shared Dictionary Learning","display_name":"Cross-View Action Recognition Based on Hierarchical View-Shared Dictionary Learning","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2792969342","doi":"https://doi.org/10.1109/access.2018.2815611","mag":"2792969342"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2815611","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2815611","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.2018.2815611","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015457299","display_name":"Chengkun Zhang","orcid":"https://orcid.org/0000-0002-3188-6583"},"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":true,"raw_author_name":"Chengkun Zhang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034213282","display_name":"Huicheng Zheng","orcid":"https://orcid.org/0000-0002-6729-4176"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"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":"Huicheng Zheng","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6729-4176","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"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":"Jianhuang Lai","raw_affiliation_strings":["Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-2024","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Information Security Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015457299"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7422,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76233896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"16855","last_page":"16868"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962000250816345,"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":0.7851881384849548},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7318027019500732},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.6963510513305664},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6731148958206177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6532993316650391},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6110066771507263},{"id":"https://openalex.org/keywords/shared-space","display_name":"Shared space","score":0.519705593585968},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4877253472805023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4825153052806854},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.46369469165802},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43884366750717163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3807470202445984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851881384849548},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7318027019500732},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.6963510513305664},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6731148958206177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6532993316650391},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6110066771507263},{"id":"https://openalex.org/C2777311342","wikidata":"https://www.wikidata.org/wiki/Q578801","display_name":"Shared space","level":3,"score":0.519705593585968},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4877253472805023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4825153052806854},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.46369469165802},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43884366750717163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3807470202445984},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2815611","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2815611","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:doaj.org/article:b68c5579ea1441ec9f4c5723958f7033","is_oa":true,"landing_page_url":"https://doaj.org/article/b68c5579ea1441ec9f4c5723958f7033","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 16855-16868 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2815611","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2815611","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":[],"awards":[{"id":"https://openalex.org/G5243743072","display_name":null,"funder_award_id":"61172141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5259213742","display_name":null,"funder_award_id":"61573387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1487322600","https://openalex.org/W1556583247","https://openalex.org/W1580629795","https://openalex.org/W1593040460","https://openalex.org/W1599220855","https://openalex.org/W1777221758","https://openalex.org/W1926974744","https://openalex.org/W1932274155","https://openalex.org/W1978609775","https://openalex.org/W1981160672","https://openalex.org/W1983705368","https://openalex.org/W1984219317","https://openalex.org/W1985967702","https://openalex.org/W1997822789","https://openalex.org/W2000403713","https://openalex.org/W2010243644","https://openalex.org/W2021733262","https://openalex.org/W2025632878","https://openalex.org/W2054041160","https://openalex.org/W2057232399","https://openalex.org/W2068611653","https://openalex.org/W2090834590","https://openalex.org/W2104020497","https://openalex.org/W2105101328","https://openalex.org/W2110142955","https://openalex.org/W2114484845","https://openalex.org/W2119799051","https://openalex.org/W2124111503","https://openalex.org/W2125854396","https://openalex.org/W2126574503","https://openalex.org/W2127271355","https://openalex.org/W2129418188","https://openalex.org/W2136399672","https://openalex.org/W2137996946","https://openalex.org/W2138232383","https://openalex.org/W2139191027","https://openalex.org/W2153867457","https://openalex.org/W2155268664","https://openalex.org/W2156135524","https://openalex.org/W2157785665","https://openalex.org/W2159001013","https://openalex.org/W2160547390","https://openalex.org/W2163680646","https://openalex.org/W2165918594","https://openalex.org/W2166070055","https://openalex.org/W2169560406","https://openalex.org/W2182587296","https://openalex.org/W2246782854","https://openalex.org/W2313747897","https://openalex.org/W2323265460","https://openalex.org/W2327854675","https://openalex.org/W2345308841","https://openalex.org/W2405520994","https://openalex.org/W2533739470","https://openalex.org/W2536349189","https://openalex.org/W2547599103","https://openalex.org/W2586564970","https://openalex.org/W2725123140","https://openalex.org/W2761406536","https://openalex.org/W2761885575","https://openalex.org/W3141200356","https://openalex.org/W6646495098","https://openalex.org/W6672997307","https://openalex.org/W6676671045","https://openalex.org/W6679000042","https://openalex.org/W6680015892","https://openalex.org/W6713985311","https://openalex.org/W6729213900"],"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/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W2295006769"],"abstract_inverted_index":{"Recognizing":[0],"human":[1],"actions":[2],"across":[3,154],"different":[4,95,125],"views":[5,96,126,156],"is":[6,55],"challenging,":[7],"since":[8],"observations":[9],"of":[10,40,79,83,108,114,124,151,198],"the":[11,27,37,76,80,90,105,115,120,148,155,160,171,191,199],"same":[12],"action":[13,41,59,67,152,161],"often":[14],"vary":[15],"greatly":[16],"with":[17],"viewpoints.":[18],"To":[19],"solve":[20],"this":[21,45,139],"problem,":[22],"most":[23],"existing":[24],"methods":[25],"explore":[26],"cross-view":[28,185],"feature":[29,92,122,131],"transfer":[30,52],"relationship":[31,65,82],"at":[32,69,111],"video":[33],"level":[34,113],"only,":[35],"ignoring":[36],"sequential":[38,64,81],"composition":[39],"segments":[42,68,162],"therein.":[43],"In":[44],"paper,":[46],"we":[47,87,118],"propose":[48],"a":[49,128,136,164],"novel":[50],"hierarchical":[51],"framework,":[53,117],"which":[54],"based":[56],"on":[57,190],"an":[58],"temporal-structure":[60],"model":[61],"that":[62,89],"contains":[63],"between":[66],"multiple":[70],"timescales.":[71],"Thus,":[72,110],"it":[73],"can":[74,158,174],"capture":[75],"view":[77,168],"invariance":[78],"segment-level":[84],"transfer.":[85],"Additionally,":[86],"observe":[88],"original":[91,121],"distributions":[93],"under":[94],"differ":[97],"greatly,":[98],"leading":[99],"to":[100,104,127,167],"view-dependent":[101],"representations":[102],"irrelevant":[103],"intrinsic":[106],"structure":[107,150],"actions.":[109],"each":[112],"proposed":[116,172,200],"transform":[119],"spaces":[123],"view-shared":[129,145],"low-dimensional":[130],"space,":[132],"and":[133,157,178,183,193],"jointly":[134],"learn":[135],"dictionary":[137,146],"in":[138,163,180],"space":[140],"for":[141],"these":[142],"views.":[143],"This":[144],"captures":[147],"common":[149],"data":[153],"represent":[159],"way":[165],"robust":[166],"changes.":[169],"Moreover,":[170],"method":[173,201],"be":[175],"kernelized":[176],"easily,":[177],"operate":[179],"both":[181],"unsupervised":[182],"supervised":[184],"scenarios.":[186],"Extensive":[187],"experimental":[188],"results":[189],"IXMAS":[192],"WVU":[194],"datasets":[195],"demonstrate":[196],"superiority":[197],"over":[202],"state-of-the-art":[203],"methods.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}