{"id":"https://openalex.org/W4411016277","doi":"https://doi.org/10.1145/3728725.3728782","title":"Identification of personnel identity in unmanned aerial vehicle video gait recognition based on 3Dresidual network","display_name":"Identification of personnel identity in unmanned aerial vehicle video gait recognition based on 3Dresidual network","publication_year":2025,"publication_date":"2025-02-21","ids":{"openalex":"https://openalex.org/W4411016277","doi":"https://doi.org/10.1145/3728725.3728782"},"language":"en","primary_location":{"id":"doi:10.1145/3728725.3728782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728782","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728782","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jingsi Wang","orcid":"https://orcid.org/0009-0002-9936-886X"},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsi Wang","raw_affiliation_strings":["Shanghai Institute of Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-9936-886X","affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103934520","display_name":"Xiaobin Li","orcid":"https://orcid.org/0009-0009-8295-058X"},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Li","raw_affiliation_strings":["Shanghai Institute of Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-8295-058X","affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117825175","display_name":"Pengyu Zhu","orcid":"https://orcid.org/0009-0001-3662-7396"},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Zhu","raw_affiliation_strings":["Shanghai Institute of Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0001-3662-7396","affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048869282","display_name":"Zhuoyi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoyi Chen","raw_affiliation_strings":["Shanghai Institute of Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0005-1980-4425","affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology, Shanghai, China","institution_ids":["https://openalex.org/I67001856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67001856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10049424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"354","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998000264167786,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9936000108718872,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/identification","display_name":"Identification (biology)","score":0.7324134111404419},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.672419548034668},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5939145088195801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5889860987663269},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4337362051010132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42047154903411865},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.35961735248565674},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21943172812461853},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.19172713160514832},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0673888623714447}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7324134111404419},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.672419548034668},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5939145088195801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5889860987663269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4337362051010132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42047154903411865},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.35961735248565674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21943172812461853},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.19172713160514832},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0673888623714447},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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:10.1145/3728725.3728782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728782","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3728725.3728782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3728725.3728782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3728725.3728782","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 2nd International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411016277.pdf","grobid_xml":"https://content.openalex.org/works/W4411016277.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2902926688","https://openalex.org/W2989592705","https://openalex.org/W2991240825","https://openalex.org/W3015951701","https://openalex.org/W3122173535","https://openalex.org/W4236965008","https://openalex.org/W4256172916","https://openalex.org/W4285252689","https://openalex.org/W4379107340","https://openalex.org/W4382049164","https://openalex.org/W4392503863","https://openalex.org/W4395111353","https://openalex.org/W6745984080"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W4321378240","https://openalex.org/W2410053581","https://openalex.org/W2998375644","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W2152805146","https://openalex.org/W2077812314","https://openalex.org/W2113408265","https://openalex.org/W2348876715"],"abstract_inverted_index":{"An":[0],"improved":[1,108],"adaptive":[2,120],"3D":[3],"ResNet-18":[4,52],"residual":[5,53],"network":[6,54],"gait":[7,28,46,115],"recognition":[8,164],"method":[9],"is":[10],"proposed":[11],"for":[12,42,50],"the":[13,65,78,82,88,94,107,124,130,139,142,147,151,156,160,173],"problem":[14],"of":[15,27,67,90,141,175],"recognizing":[16],"people's":[17],"identity":[18],"in":[19,64,93,104,150,166,177],"videos":[20],"captured":[21,96],"by":[22,97],"UAVs.":[23],"Using":[24],"a":[25,72],"combination":[26],"feature":[29,132],"extraction":[30,133],"and":[31,44,61,70,80,99,101,116,119,128,134,155],"deep":[32],"learning":[33],"models,":[34],"human":[35],"silhouettes":[36],"are":[37,48],"separated":[38],"from":[39],"complex":[40],"backgrounds":[41],"modeling,":[43,106],"their":[45],"features":[47,57,63],"extracted":[49],"identification.3D":[51],"learns":[55],"spatio-temporal":[56,131],"to":[58,76],"extract":[59],"temporal":[60],"spatial":[62],"sequence":[66],"video":[68,95],"frames":[69],"introduces":[71],"cross-entropy":[73],"loss":[74],"function":[75],"optimize":[77],"model":[79,161],"improve":[81],"prediction":[83],"accuracy.":[84],"When":[85],"dealing":[86],"with":[87],"challenges":[89],"motion":[91],"blurring":[92],"drones":[98],"shadows":[100],"noise":[102],"interference":[103],"background":[105,110,125],"MOG2":[109],"separation":[111],"algorithm":[112],"detects":[113],"pedestrian":[114],"models":[117],"it,":[118],"variance":[121],"thresholding":[122],"improves":[123,129,138,172],"detection":[126],"capability":[127],"optimization,":[135],"which":[136],"significantly":[137],"robustness":[140],"model.":[143],"The":[144],"experiments":[145],"use":[146],"Walking":[148],"category":[149],"KTH":[152],"public":[153],"dataset,":[154],"results":[157,165],"show":[158],"that":[159],"exhibits":[162],"good":[163],"different":[167],"backgrounds.":[168],"This":[169],"approach":[170],"effectively":[171],"performance":[174],"UAVs":[176],"applications":[178],"such":[179],"as":[180],"security":[181],"surveillance.":[182]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
