{"id":"https://openalex.org/W2804587839","doi":"https://doi.org/10.1145/3177757","title":"Multifeature Selection for 3D Human Action Recognition","display_name":"Multifeature Selection for 3D Human Action Recognition","publication_year":2018,"publication_date":"2018-05-22","ids":{"openalex":"https://openalex.org/W2804587839","doi":"https://doi.org/10.1145/3177757","mag":"2804587839"},"language":"en","primary_location":{"id":"doi:10.1145/3177757","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3177757","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","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/A5101938563","display_name":"Min Huang","orcid":"https://orcid.org/0000-0001-5978-7619"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Huang","raw_affiliation_strings":["Xiamen University, Xiamen, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0001-5978-7619","affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066468110","display_name":"Songzhi Su","orcid":"https://orcid.org/0000-0001-8961-9405"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song-Zhi Su","raw_affiliation_strings":["Xiamen University, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461083","display_name":"Hongbo Zhang","orcid":"https://orcid.org/0000-0001-5536-5224"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Bo Zhang","raw_affiliation_strings":["Huaqiao University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaqiao University, Xiamen, China","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620003","display_name":"Guorong Cai","orcid":"https://orcid.org/0000-0001-8091-271X"},"institutions":[{"id":"https://openalex.org/I161346416","display_name":"Jimei University","ror":"https://ror.org/03hknyb50","country_code":"CN","type":"education","lineage":["https://openalex.org/I161346416"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Rong Cai","raw_affiliation_strings":["Jimei University, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jimei University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I161346416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065583805","display_name":"Dongying Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongying Gong","raw_affiliation_strings":["Xiamen University, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032136718","display_name":"Donglin Cao","orcid":"https://orcid.org/0000-0002-0156-6087"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Cao","raw_affiliation_strings":["Xiamen University, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081767617","display_name":"Shaozi Li","orcid":"https://orcid.org/0000-0001-5403-9945"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-Zi Li","raw_affiliation_strings":["Xiamen University, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.424,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.66694001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"2","first_page":"1","last_page":"18"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7683132886886597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7427539825439453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6894506216049194},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6807024478912354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.644902229309082},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6336013078689575},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5783730745315552},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4574446380138397},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.4508223533630371},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44227445125579834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35724008083343506}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7683132886886597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7427539825439453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894506216049194},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6807024478912354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.644902229309082},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6336013078689575},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5783730745315552},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4574446380138397},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.4508223533630371},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44227445125579834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35724008083343506},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3177757","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3177757","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5299999713897705,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2539914403","display_name":null,"funder_award_id":"No. 2015J01253, No. 2016J01310 & No. 2016J01309","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W190437827","https://openalex.org/W1268588198","https://openalex.org/W1588788171","https://openalex.org/W1871385855","https://openalex.org/W1874503286","https://openalex.org/W1893516992","https://openalex.org/W1895914852","https://openalex.org/W1950788856","https://openalex.org/W1979393784","https://openalex.org/W1985469025","https://openalex.org/W2001696967","https://openalex.org/W2004261710","https://openalex.org/W2008824967","https://openalex.org/W2017337590","https://openalex.org/W2048821851","https://openalex.org/W2055600015","https://openalex.org/W2071711637","https://openalex.org/W2073139398","https://openalex.org/W2078157583","https://openalex.org/W2084793887","https://openalex.org/W2085735683","https://openalex.org/W2086663212","https://openalex.org/W2091911422","https://openalex.org/W2105672294","https://openalex.org/W2124225314","https://openalex.org/W2143267104","https://openalex.org/W2144380653","https://openalex.org/W2145546283","https://openalex.org/W2152084636","https://openalex.org/W2169251375","https://openalex.org/W2173046955","https://openalex.org/W2182587296","https://openalex.org/W2217325140","https://openalex.org/W2322020277","https://openalex.org/W2343864402","https://openalex.org/W2344034899","https://openalex.org/W2526041356","https://openalex.org/W2530143172","https://openalex.org/W2565016552","https://openalex.org/W2618530766","https://openalex.org/W2791136475","https://openalex.org/W2886362482","https://openalex.org/W2998216295","https://openalex.org/W3004658167","https://openalex.org/W3023104975","https://openalex.org/W3023742835","https://openalex.org/W3140428646","https://openalex.org/W4236965008","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W1517228774","https://openalex.org/W2117019857","https://openalex.org/W3101070354","https://openalex.org/W4367681502","https://openalex.org/W4367591752","https://openalex.org/W4379796555"],"abstract_inverted_index":{"In":[0],"mainstream":[1],"approaches":[2,116],"for":[3,42],"3D":[4,43],"human":[5,44],"action":[6,45],"recognition,":[7],"depth":[8,61,63,83],"and":[9,26,65,121],"skeleton":[10,66],"features":[11,56,92],"are":[12,57],"combined":[13],"to":[14,30,59,77,95,100],"improve":[15],"recognition":[16,46],"accuracy.":[17],"However,":[18],"this":[19,36,50],"strategy":[20],"results":[21,105],"in":[22,49],"high":[23],"feature":[24,32,120,122],"dimensions":[25],"low":[27],"discrimination":[28,80,102],"due":[29],"redundant":[31],"vectors.":[33],"To":[34],"solve":[35],"drawback,":[37],"a":[38,69],"multi-feature":[39,110],"selection":[40,111],"approach":[41,112],"is":[47,75,93],"proposed":[48,58,109],"paper.":[51],"First,":[52],"three":[53,91],"novel":[54],"single-modal":[55,119],"describe":[60],"appearance,":[62],"motion,":[64],"motion.":[67],"Second,":[68],"classification":[70],"entropy":[71],"of":[72,81,89],"random":[73],"forest":[74],"used":[76],"evaluate":[78],"the":[79,82,90,97,101,108],"appearance":[84],"based":[85,117],"features.":[86],"Finally,":[87],"one":[88],"selected":[94],"recognize":[96],"sample":[98],"according":[99],"evaluation.":[103],"Experimental":[104],"show":[106],"that":[107],"significantly":[113],"outperforms":[114],"other":[115],"on":[118],"fusion.":[123]},"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":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
