{"id":"https://openalex.org/W2929617068","doi":"https://doi.org/10.1109/access.2019.2907720","title":"Human Action Recognition Using Multilevel Depth Motion Maps","display_name":"Human Action Recognition Using Multilevel Depth Motion Maps","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2929617068","doi":"https://doi.org/10.1109/access.2019.2907720","mag":"2929617068"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2907720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907720","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675733.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8600701/08675733.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024728288","display_name":"Weiyao Xu","orcid":"https://orcid.org/0000-0001-9372-8225"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Weiyao","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003011685","display_name":"Muqing Wu","orcid":"https://orcid.org/0000-0002-9653-4677"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Muqing","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769198","display_name":"Min Zhao","orcid":"https://orcid.org/0000-0002-7324-9187"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Min","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814990","display_name":"Yifeng Liu","orcid":"https://orcid.org/0009-0005-9645-0130"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Yifeng","raw_affiliation_strings":["China Academy of Electronics and Information Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Academy of Electronics and Information Technology, Beijing, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101655323","display_name":"Bo Lv","orcid":"https://orcid.org/0000-0002-5544-7841"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lv Bo","raw_affiliation_strings":["China Academy of Electronics and Information Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Academy of Electronics and Information Technology, Beijing, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103238810","display_name":"Ting Xia","orcid":"https://orcid.org/0000-0002-5030-514X"},"institutions":[{"id":"https://openalex.org/I4210159676","display_name":"Zaozhuang University","ror":"https://ror.org/05x21tp94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210159676"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Ting","raw_affiliation_strings":["College of Opto-electronic Engineering, Zaozhuang University, Zaozhuang, China"],"affiliations":[{"raw_affiliation_string":"College of Opto-electronic Engineering, Zaozhuang University, Zaozhuang, China","institution_ids":["https://openalex.org/I4210159676"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024728288"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1238,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.81937548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"41811","last_page":"41822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9848999977111816,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.979200005531311,"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/computer-science","display_name":"Computer science","score":0.8081281185150146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.752042293548584},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6160907745361328},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6086339950561523},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5745766162872314},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5576888918876648},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5569441914558411},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5128655433654785},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4773128926753998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10216307640075684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8081281185150146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.752042293548584},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6160907745361328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6086339950561523},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5745766162872314},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5576888918876648},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5569441914558411},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5128655433654785},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4773128926753998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10216307640075684},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2907720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907720","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675733.pdf","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:cd380019d1c648dcb6816d05e8283fc9","is_oa":true,"landing_page_url":"https://doaj.org/article/cd380019d1c648dcb6816d05e8283fc9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 41811-41822 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2907720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2907720","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675733.pdf","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/17","display_name":"Partnerships for the goals","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G1834021097","display_name":null,"funder_award_id":"B17007","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G2870318597","display_name":null,"funder_award_id":"B17007","funder_id":"https://openalex.org/F4320327558","funder_display_name":"Beijing Key Laboratory of Network System Architecture and Convergence"},{"id":"https://openalex.org/G3782350915","display_name":null,"funder_award_id":"17007","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G5621340327","display_name":null,"funder_award_id":"2017BKL-NSAC-ZJ-01","funder_id":"https://openalex.org/F4320327558","funder_display_name":"Beijing Key Laboratory of Network System Architecture and Convergence"}],"funders":[{"id":"https://openalex.org/F4320327558","display_name":"Beijing Key Laboratory of Network System Architecture and Convergence","ror":null},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2929617068.pdf","grobid_xml":"https://content.openalex.org/works/W2929617068.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1568156700","https://openalex.org/W1606858007","https://openalex.org/W1950788856","https://openalex.org/W2004261710","https://openalex.org/W2008824967","https://openalex.org/W2026131661","https://openalex.org/W2037756434","https://openalex.org/W2037762322","https://openalex.org/W2079447555","https://openalex.org/W2085735683","https://openalex.org/W2096171208","https://openalex.org/W2121122959","https://openalex.org/W2141516267","https://openalex.org/W2144380653","https://openalex.org/W2161969291","https://openalex.org/W2165715280","https://openalex.org/W2169251375","https://openalex.org/W2296311849","https://openalex.org/W2322309642","https://openalex.org/W2348797658","https://openalex.org/W2406379805","https://openalex.org/W2530143172","https://openalex.org/W2536841537","https://openalex.org/W2561964848","https://openalex.org/W2567500308","https://openalex.org/W2591399839","https://openalex.org/W2593146028","https://openalex.org/W2623040655","https://openalex.org/W2650426111","https://openalex.org/W2751841288","https://openalex.org/W2761406536","https://openalex.org/W2776217220","https://openalex.org/W2781789557","https://openalex.org/W2783128845","https://openalex.org/W2798791808","https://openalex.org/W2802503116","https://openalex.org/W2806353050","https://openalex.org/W2868292291","https://openalex.org/W2884320137","https://openalex.org/W2906679066","https://openalex.org/W2952587893","https://openalex.org/W2962824791","https://openalex.org/W2963536138","https://openalex.org/W2964134613","https://openalex.org/W3101849660","https://openalex.org/W4246082463","https://openalex.org/W4290379497","https://openalex.org/W6634103714","https://openalex.org/W6640754710","https://openalex.org/W6747382791","https://openalex.org/W6750190445","https://openalex.org/W6752146385"],"related_works":["https://openalex.org/W2372403409","https://openalex.org/W4242726756","https://openalex.org/W144832045","https://openalex.org/W1979328687","https://openalex.org/W2132049714","https://openalex.org/W2034641747","https://openalex.org/W2884713252","https://openalex.org/W2003949892","https://openalex.org/W1493568480","https://openalex.org/W2551337514"],"abstract_inverted_index":{"The":[0,17,117,130],"advent":[1],"of":[2,20,49,73],"depth":[3,15,34,55,128],"sensors":[4],"opens":[5],"up":[6],"new":[7],"opportunities":[8],"for":[9,29],"human":[10,30],"action":[11,31],"recognition":[12,32],"by":[13,127],"providing":[14],"information.":[16],"main":[18],"purpose":[19],"this":[21,78],"paper":[22,79],"is":[23,67,99,107,120],"to":[24,45,69,87,101],"present":[25],"an":[26],"effective":[27],"method":[28,42,66],"from":[33,52,91],"images.":[35],"A":[36],"multilevel":[37],"frame":[38],"select":[39],"sampling":[40],"(MFSS)":[41],"are":[43],"proposed":[44,60],"generate":[46],"three":[47,123],"levels":[48],"temporal":[50],"samples":[51],"the":[53,59,71,81,92,95,103,111,134,139],"input":[54],"sequences":[56],"first.":[57],"Then,":[58],"motion":[61],"and":[62],"static":[63],"mapping":[64],"(MSM)":[65],"used":[68],"obtain":[70],"representation":[72,98],"MFSS":[74],"sequences.":[75],"After":[76],"that,":[77],"exploits":[80],"block-based":[82],"LBP":[83],"feature":[84],"extraction":[85],"approach":[86],"extract":[88],"features":[89],"information":[90],"MSM.":[93],"Finally,":[94],"fisher":[96],"kernel":[97],"applied":[100],"aggregate":[102],"block":[104],"features,":[105],"which":[106],"then":[108],"combined":[109],"with":[110,138],"kernel-based":[112],"extreme":[113],"learning":[114],"machine":[115],"classifier.":[116],"developed":[118],"framework":[119],"evaluated":[121],"on":[122],"public":[124],"datasets":[125],"captured":[126],"cameras.":[129],"experimental":[131],"results":[132],"demonstrate":[133],"great":[135],"performance":[136],"compared":[137],"existing":[140],"approaches.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}