{"id":"https://openalex.org/W4409974766","doi":"https://doi.org/10.1007/s10044-025-01478-x","title":"Enhancing part-based gait recognition via ensemble learning and feature fusion","display_name":"Enhancing part-based gait recognition via ensemble learning and feature fusion","publication_year":2025,"publication_date":"2025-04-30","ids":{"openalex":"https://openalex.org/W4409974766","doi":"https://doi.org/10.1007/s10044-025-01478-x"},"language":"en","primary_location":{"id":"doi:10.1007/s10044-025-01478-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-025-01478-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-025-01478-x.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10044-025-01478-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064464451","display_name":"B\u00fc\u015franur K\u00fc\u00e7\u00fcku\u011furlu","orcid":"https://orcid.org/0000-0002-6034-6850"},"institutions":[{"id":"https://openalex.org/I143914637","display_name":"G\u00fcm\u00fc\u015fhane University","ror":"https://ror.org/00r9t7n55","country_code":"TR","type":"education","lineage":["https://openalex.org/I143914637"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"B\u00fc\u015franur Yaprak","raw_affiliation_strings":["Department of Software Engineering, G\u00fcm\u00fc\u015fhane University, 29100, G\u00fcm\u00fc\u015fhane, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6034-6850","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, G\u00fcm\u00fc\u015fhane University, 29100, G\u00fcm\u00fc\u015fhane, Turkey","institution_ids":["https://openalex.org/I143914637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047793142","display_name":"Ey\u00fcp Ged\u0456kl\u0456","orcid":"https://orcid.org/0000-0002-7212-5457"},"institutions":[{"id":"https://openalex.org/I162720556","display_name":"Karadeniz Technical University","ror":"https://ror.org/03z8fyr40","country_code":"TR","type":"education","lineage":["https://openalex.org/I162720556"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ey\u00fcp Gedikli","raw_affiliation_strings":["Department of Software Engineering, Karadeniz Technical University, 61080, Trabzon, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-7212-5457","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Karadeniz Technical University, 61080, Trabzon, Turkey","institution_ids":["https://openalex.org/I162720556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064464451"],"corresponding_institution_ids":["https://openalex.org/I143914637"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.2357,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87021984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"28","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9929999709129333,"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":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6841486096382141},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6712603569030762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6561385989189148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6162447929382324},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5952908396720886},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5581402778625488},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.540618360042572},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.13984772562980652},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09734144806861877}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6841486096382141},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6712603569030762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6561385989189148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6162447929382324},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5952908396720886},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5581402778625488},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.540618360042572},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.13984772562980652},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09734144806861877},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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:10.1007/s10044-025-01478-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-025-01478-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-025-01478-x.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},{"id":"pmh:11c209be-7051-446e-80d5-495c8b1f76c9","is_oa":false,"landing_page_url":"https://avesis.kocaeli.edu.tr/publication/details/11c209be-7051-446e-80d5-495c8b1f76c9/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055291","display_name":"Kocaeli \u00dcniversitesi - AVES\u0130S","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10044-025-01478-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10044-025-01478-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10044-025-01478-x.pdf","source":{"id":"https://openalex.org/S45497385","display_name":"Pattern Analysis and Applications","issn_l":"1433-7541","issn":["1433-7541","1433-755X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Analysis and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319422","display_name":"G\u00fcm\u00fc\u015fhane \u00dcniversitesi","ror":"https://ror.org/00r9t7n55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409974766.pdf","grobid_xml":"https://content.openalex.org/works/W4409974766.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1588513641","https://openalex.org/W2016327746","https://openalex.org/W2026800967","https://openalex.org/W2113408265","https://openalex.org/W2126680226","https://openalex.org/W2201781451","https://openalex.org/W2322772590","https://openalex.org/W2517225990","https://openalex.org/W2542803194","https://openalex.org/W2546370986","https://openalex.org/W2609963459","https://openalex.org/W2612116240","https://openalex.org/W2760814882","https://openalex.org/W2783128845","https://openalex.org/W2788751553","https://openalex.org/W2789758093","https://openalex.org/W2807461033","https://openalex.org/W2940710034","https://openalex.org/W2946327825","https://openalex.org/W2956928039","https://openalex.org/W2960957522","https://openalex.org/W2963301258","https://openalex.org/W2963854019","https://openalex.org/W2966138416","https://openalex.org/W2977530922","https://openalex.org/W3033235266","https://openalex.org/W3035400973","https://openalex.org/W3082981339","https://openalex.org/W3086951262","https://openalex.org/W3094099286","https://openalex.org/W3094345665","https://openalex.org/W3097009184","https://openalex.org/W3101849660","https://openalex.org/W3143148078","https://openalex.org/W3157063219","https://openalex.org/W3168423733","https://openalex.org/W3182137715","https://openalex.org/W3191514646","https://openalex.org/W3195852174","https://openalex.org/W3198531509","https://openalex.org/W3201864842","https://openalex.org/W3216693360","https://openalex.org/W4205530192","https://openalex.org/W4214538268","https://openalex.org/W4283815292","https://openalex.org/W4285606561","https://openalex.org/W4292793985","https://openalex.org/W4312443924","https://openalex.org/W4317207836","https://openalex.org/W4318677156","https://openalex.org/W4323361262","https://openalex.org/W4361282661","https://openalex.org/W4382049164","https://openalex.org/W4386065354","https://openalex.org/W4386071489","https://openalex.org/W4387377225","https://openalex.org/W4392741642","https://openalex.org/W4396543197","https://openalex.org/W4396723290","https://openalex.org/W4397001278","https://openalex.org/W4399705368","https://openalex.org/W4401458427","https://openalex.org/W4402644259"],"related_works":["https://openalex.org/W4321378240","https://openalex.org/W2998375644","https://openalex.org/W3147584709","https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2113408265","https://openalex.org/W3034338377","https://openalex.org/W4238347986","https://openalex.org/W2967030268","https://openalex.org/W4226051865"],"abstract_inverted_index":{"Abstract":[0],"Gait,":[1],"a":[2,118],"behavior-based":[3],"biometric":[4],"feature,":[5],"has":[6],"gained":[7],"increasing":[8],"popularity":[9],"in":[10,14],"human":[11],"identification,":[12],"particularly":[13],"surveillance":[15],"systems,":[16],"due":[17],"to":[18,21,83,102,123,146],"its":[19],"ability":[20],"function":[22],"without":[23,138],"physical":[24],"contact":[25],"or":[26],"explicit":[27],"consent.":[28],"Traditional":[29],"silhouette-based":[30],"methods":[31],"have":[32],"demonstrated":[33],"that":[34,165],"different":[35],"body":[36,65,100],"parts":[37],"exhibit":[38],"distinct":[39],"movement":[40],"patterns":[41],"during":[42],"walking,":[43],"thereby":[44],"enhancing":[45],"recognition":[46,57,172],"accuracy.":[47],"In":[48],"this":[49],"study,":[50],"we":[51],"propose":[52],"an":[53],"improved":[54],"part-based":[55,105,170],"gait":[56,171],"approach":[58,153],"by":[59,130],"leveraging":[60],"ensemble":[61,79,109,166],"learning":[62,80,110,167],"on":[63,154],"local":[64],"regions.":[66],"The":[67,140,182],"Gait":[68],"Energy":[69],"Image":[70],"(GEI)":[71],"is":[72,81,96,121],"segmented":[73],"into":[74],"five":[75],"horizontal":[76],"parts,":[77],"and":[78,111,137,158,161,184],"applied":[82],"the":[84,104,113,125,155],"convolutional":[85],"neural":[86],"network":[87],"(CNN)":[88],"responsible":[89],"for":[90,98],"their":[91],"processing.":[92],"A":[93],"separate":[94],"MetaModel":[95],"trained":[97],"each":[99],"part":[101],"integrate":[103],"features":[106,144],"obtained":[107],"from":[108],"synthesize":[112],"most":[114,142],"discriminative":[115],"ones.":[116],"Additionally,":[117],"part-removal":[119],"process":[120],"introduced":[122],"mitigate":[124],"effects":[126],"of":[127],"appearance-based":[128],"variations":[129],"analyzing":[131],"absolute":[132],"differences":[133],"between":[134],"images":[135],"with":[136],"variations.":[139],"aggregated":[141],"distinctive":[143],"contribute":[145],"robust":[147],"recognition.":[148],"We":[149],"evaluate":[150],"our":[151],"proposed":[152],"CASIA-B,":[156],"CASIA-C,":[157],"Outdoor-Gait":[159],"datasets,":[160],"experimental":[162],"results":[163],"indicate":[164],"significantly":[168],"enhances":[169],"performance":[173],"under":[174],"various":[175],"appearance":[176],"variations,":[177],"outperforming":[178],"several":[179],"state-of-the-art":[180],"methods.":[181],"datasets":[183],"source":[185],"code":[186],"are":[187],"available":[188],"at":[189],"https://github.com/busrakckugurlu/Enhancing-Part-based-Gait-Recognition-via-Ensemble-Learning-and-Feature-Fusion/tree/main":[190],".":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
