{"id":"https://openalex.org/W3079550650","doi":"https://doi.org/10.1109/access.2020.3017076","title":"Human Action Recognition Algorithm Based on Multi-Feature Map Fusion","display_name":"Human Action Recognition Algorithm Based on Multi-Feature Map Fusion","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3079550650","doi":"https://doi.org/10.1109/access.2020.3017076","mag":"3079550650"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3017076","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3017076","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09169613.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09169613.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100771234","display_name":"Haofei Wang","orcid":"https://orcid.org/0000-0002-3898-0927"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofei Wang","raw_affiliation_strings":["Department of Control Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3898-0927","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101930547","display_name":"Junfeng Li","orcid":"https://orcid.org/0000-0002-1207-3317"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Li","raw_affiliation_strings":["Department of Control Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1207-3317","affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4792,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65414214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"150945","last_page":"150954"},"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":0.9937000274658203,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.706672191619873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.672313392162323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6422297954559326},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6071066856384277},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5997633337974548},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.515209972858429},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4463900625705719},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4425572156906128},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41196125745773315},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3651497960090637}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.706672191619873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672313392162323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6422297954559326},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6071066856384277},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5997633337974548},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.515209972858429},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4463900625705719},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4425572156906128},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41196125745773315},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3651497960090637},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3017076","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3017076","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09169613.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:596ca8945e53456dae9f2ea03cb4d7ba","is_oa":true,"landing_page_url":"https://doaj.org/article/596ca8945e53456dae9f2ea03cb4d7ba","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 8, Pp 150945-150954 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3017076","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3017076","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09169613.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/G8718015563","display_name":null,"funder_award_id":"61374022","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3079550650.pdf","grobid_xml":"https://content.openalex.org/works/W3079550650.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1534763723","https://openalex.org/W1923404803","https://openalex.org/W1950136256","https://openalex.org/W1983364832","https://openalex.org/W2016053056","https://openalex.org/W2024868105","https://openalex.org/W2062118960","https://openalex.org/W2105101328","https://openalex.org/W2108333036","https://openalex.org/W2156303437","https://openalex.org/W2364084398","https://openalex.org/W2549139847","https://openalex.org/W2556024076","https://openalex.org/W2558122535","https://openalex.org/W2565516711","https://openalex.org/W2565639579","https://openalex.org/W2745519816","https://openalex.org/W2755426660","https://openalex.org/W2798428730","https://openalex.org/W2798472916","https://openalex.org/W2799176631","https://openalex.org/W2811232038","https://openalex.org/W2963091558","https://openalex.org/W2963315828","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W2964191259","https://openalex.org/W2968553732","https://openalex.org/W3035154689","https://openalex.org/W4293584584","https://openalex.org/W6640257725","https://openalex.org/W6666023844","https://openalex.org/W6742667445","https://openalex.org/W6750227808","https://openalex.org/W6752618421","https://openalex.org/W7062633382"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W4390606538","https://openalex.org/W2095903272"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,11,19,39,54,102,108,164,174,186],"the":[3,9,17,20,34,37,40,52,75,92,95,112,122,137,143,158,162,172,187],"convolutional":[4],"neural":[5],"network":[6],"greatly":[7],"improves":[8],"accuracy":[10,173],"human":[12,56,65],"action":[13,57,66],"recognition.":[14],"However,":[15],"with":[16,88],"deepening":[18],"network,":[21],"fewer":[22,24],"and":[23,28,84,115,128,156,168],"features":[25],"are":[26,126],"extracted,":[27],"in":[29],"some":[30],"datasets,":[31],"due":[32],"to":[33,42,80,94,110,154],"shooting":[35],"angle,":[36],"size":[38],"target":[41],"be":[43,132],"recognized":[44],"is":[45,77,177,182],"different.":[46],"To":[47],"solve":[48],"this":[49],"problem,":[50],"on":[51,70,151,179],"basis":[53],"resnext":[55,64],"recognition":[58,67],"method,":[59],"we":[60,85,98,141],"propose":[61],"an":[62],"improved":[63],"method":[68,149],"based":[69,150],"multi-feature":[71],"map":[72],"fusion.":[73],"First,":[74],"video":[76],"uniformly":[78],"sampled":[79],"generate":[81,86],"training":[82],"samples,":[83],"samples":[87],"different":[89],"frames":[90],"as":[91],"input":[93],"network.":[96],"Second,":[97],"add":[99],"n":[100,138],"layers":[101,104],"up-sampling":[103],"after":[105],"layer":[106],"1":[107],"resnext,":[109],"enlarge":[111],"feature":[113,118,124],"maps":[114,125],"extract":[116],"multiple":[117],"maps,":[119],"so":[120],"that":[121],"extracted":[123],"clearer,":[127],"small":[129],"targets":[130],"can":[131],"better":[133],"recognized.":[134],"Finally,":[135],"for":[136,170],"results":[139],"obtained,":[140],"use":[142],"weighted":[144],"geometric":[145],"means":[146],"combination":[147],"forecasting":[148],"L_1":[152],"norm":[153],"fuse":[155],"obtain":[157],"final":[159],"result.":[160],"In":[161],"process":[163],"experiment,":[165],"using":[166],"UCF-101":[167],"HMDB-51":[169],"verification,":[171],"our":[175],"model":[176],"90.3%":[178],"UCF-101,":[180],"which":[181],"higher":[183],"than":[184],"most":[185],"state-of-art":[188],"algorithms.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-01-29T23:13:10.619473","created_date":"2025-10-10T00:00:00"}