{"id":"https://openalex.org/W7126041501","doi":"https://doi.org/10.1109/access.2026.3659169","title":"DFAF-YOLO: Rescue Action Recognition Network Based on Dynamic Feature Extraction and Multiscale Attention Fusion in UAV Perspective","display_name":"DFAF-YOLO: Rescue Action Recognition Network Based on Dynamic Feature Extraction and Multiscale Attention Fusion in UAV Perspective","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7126041501","doi":"https://doi.org/10.1109/access.2026.3659169"},"language":null,"primary_location":{"id":"doi:10.1109/access.2026.3659169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3659169","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":"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://doi.org/10.1109/access.2026.3659169","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124233607","display_name":"Bo Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I132210918","display_name":"North China Institute of Science and Technology","ror":"https://ror.org/0096c7651","country_code":"CN","type":"education","lineage":["https://openalex.org/I132210918"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Yang","raw_affiliation_strings":["School of Emergency Technology and Management, North China Institute of Science and Technology, Langfang, China"],"raw_orcid":"https://orcid.org/0000-0002-0961-3861","affiliations":[{"raw_affiliation_string":"School of Emergency Technology and Management, North China Institute of Science and Technology, Langfang, China","institution_ids":["https://openalex.org/I132210918"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124277226","display_name":"Tao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I132210918","display_name":"North China Institute of Science and Technology","ror":"https://ror.org/0096c7651","country_code":"CN","type":"education","lineage":["https://openalex.org/I132210918"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["School of Emergency Technology and Management, North China Institute of Science and Technology, Langfang, China"],"raw_orcid":"https://orcid.org/0009-0003-1264-6423","affiliations":[{"raw_affiliation_string":"School of Emergency Technology and Management, North China Institute of Science and Technology, Langfang, China","institution_ids":["https://openalex.org/I132210918"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Geng","orcid":"https://orcid.org/0009-0000-5885-9326"},"institutions":[{"id":"https://openalex.org/I132210918","display_name":"North China Institute of Science and Technology","ror":"https://ror.org/0096c7651","country_code":"CN","type":"education","lineage":["https://openalex.org/I132210918"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Geng","raw_affiliation_strings":["School of Emergency Technology and Management, North China Institute of Science and Technology, Langfang, China"],"raw_orcid":"https://orcid.org/0009-0000-5885-9326","affiliations":[{"raw_affiliation_string":"School of Emergency Technology and Management, North China Institute of Science and Technology, Langfang, China","institution_ids":["https://openalex.org/I132210918"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124238166","display_name":"Qianchen Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianchen Xia","raw_affiliation_strings":["National Key Laboratory of Human Factors Engineering, Future Laboratory, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8253-5716","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human Factors Engineering, Future Laboratory, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124163518","display_name":"Huiqing Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115558","display_name":"Wisdom Health (United States)","ror":"https://ror.org/02538qk16","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113968","https://openalex.org/I4210115558"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huiqing Lian","raw_affiliation_strings":["Multi-scene Water Chain Accident Wisdom Emergency Technology Innovation Center of Hebei, Langfang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multi-scene Water Chain Accident Wisdom Emergency Technology Innovation Center of Hebei, Langfang, China","institution_ids":["https://openalex.org/I4210115558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124262182","display_name":"Yan Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Tian","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3770-0604","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124233607"],"corresponding_institution_ids":["https://openalex.org/I132210918"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16961553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"26524","last_page":"26537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.35260000824928284,"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":0.35260000824928284,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.1770000010728836,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.1046999990940094,"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/feature-extraction","display_name":"Feature extraction","score":0.605400025844574},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.548799991607666},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4684999883174896},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4575999975204468},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43130001425743103},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42980000376701355},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42809998989105225},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4099000096321106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8514000177383423},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.605400025844574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5914000272750854},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.548799991607666},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4684999883174896},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4575999975204468},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43130001425743103},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42809998989105225},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4099000096321106},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.336899995803833},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.30329999327659607},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.2937999963760376},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2572999894618988},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2026.3659169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3659169","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":"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"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3659169","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3659169","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":"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/G7052833642","display_name":null,"funder_award_id":"62441219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7434553541","display_name":null,"funder_award_id":"62502269","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,205],"the":[1,6,13,22,49,76,83,88,100,109,115,120,135,140,161,169,182,200,208,212,232,235],"domain":[2],"of":[3,15,24,51,90,103,122,129,142,171,192,197,234],"emergency":[4],"rescue,":[5],"capacity":[7],"to":[8,20,48,155,167],"swiftly":[9],"and":[10,41,94,105,126,194,225],"precisely":[11],"identify":[12],"actions":[14],"rescue":[16,25,202,244],"personnel":[17],"is":[18,80,112],"paramount":[19],"optimising":[21],"efficacy":[23],"operations.":[26],"This":[27,137],"study":[28],"proposes":[29],"an":[30,186,195],"enhanced":[31],"real-time":[32],"action":[33,203],"recognition":[34,60,240],"algorithm,":[35],"termed":[36],"DFAF-YOLO":[37],"(Dynamic":[38],"Feature":[39],"Extraction":[40],"Multiscale":[42],"Attention":[43],"Fusion":[44],"YOLO),":[45],"in":[46,54,82,114,153,219,229,238],"response":[47],"shortcomings":[50],"existing":[52],"algorithms":[53],"complex":[55,243],"scenarios,":[56],"particularly":[57],"their":[58],"inadequate":[59],"accuracy.":[61],"The":[62,149,175],"proposed":[63,183,213],"algorithm":[64],"incorporates":[65],"several":[66],"core":[67,96],"optimisations":[68,237],"with":[69,87,119,160,207],"a":[70,216,226],"focus":[71],"on":[72,199],"feature":[73,97,131,158],"fusion.":[74],"Firstly,":[75],"CBAM":[77],"attention":[78],"module":[79],"introduced":[81,113,166],"algorithm\u2019s":[84],"Neck":[85],"region,":[86,118],"objective":[89],"suppressing":[91],"redundant":[92],"information":[93,143],"enhancing":[95],"transmission":[98],"through":[99],"dual":[101],"effect":[102],"channel":[104],"spatial":[106],"attention.":[107],"Secondly,":[108],"ASFF":[110],"mechanism":[111,138],"Head":[116],"detection":[117,172,230],"aim":[121],"enabling":[123],"dynamic":[124],"alignment":[125],"weight":[127],"adjustment":[128],"multi-scale":[130],"maps":[132],"transmitted":[133],"from":[134],"Neck.":[136],"addresses":[139],"issue":[141],"loss":[144,163],"caused":[145],"by":[146],"scale":[147],"mismatch.":[148],"two":[150],"modules":[151],"work":[152],"synergy":[154],"enhance":[156],"key":[157],"extraction,":[159],"WIoU":[162],"function":[164],"being":[165],"optimise":[168],"accuracy":[170,196],"box":[173],"regression.":[174],"experimental":[176],"validation":[177],"process":[178],"has":[179],"demonstrated":[180],"that":[181],"scheme":[184],"attains":[185],"<italic":[187,220],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[188,190,221,223],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">mAP</i><sub":[189,222],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0.5</sub>":[191,224],"88.6%":[193],"86.5%":[198],"self-built":[201],"dataset.":[204],"comparison":[206],"base":[209],"YOLOv8n":[210],"model,":[211],"model":[214],"demonstrates":[215],"4.4%":[217],"enhancement":[218,228],"2.9%":[227],"accuracy,verifying":[231],"effectiveness":[233],"designed":[236],"improving":[239],"performance":[241],"under":[242],"scenarios.":[245]},"counts_by_year":[],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2026-01-30T00:00:00"}