{"id":"https://openalex.org/W2996910432","doi":"https://doi.org/10.4018/joeuc.2020040104","title":"A Machine Learning Method with Threshold Based Parallel Feature Fusion and Feature Selection for Automated Gait Recognition","display_name":"A Machine Learning Method with Threshold Based Parallel Feature Fusion and Feature Selection for Automated Gait Recognition","publication_year":2019,"publication_date":"2019-12-27","ids":{"openalex":"https://openalex.org/W2996910432","doi":"https://doi.org/10.4018/joeuc.2020040104","mag":"2996910432"},"language":"en","primary_location":{"id":"doi:10.4018/joeuc.2020040104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/joeuc.2020040104","pdf_url":null,"source":{"id":"https://openalex.org/S80285584","display_name":"Journal of Organizational and End User Computing","issn_l":"1546-2234","issn":["1546-2234","1546-5012"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Organizational and End User Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.4018/joeuc.2020040104","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052505171","display_name":"Muhammad Sharif","orcid":"https://orcid.org/0000-0002-1355-2168"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Sharif","raw_affiliation_strings":["Department of CS, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CS, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019971091","display_name":"Muhammad Attique","orcid":"https://orcid.org/0000-0001-8973-2993"},"institutions":[{"id":"https://openalex.org/I29698356","display_name":"HITEC University","ror":"https://ror.org/013d87239","country_code":"PK","type":"education","lineage":["https://openalex.org/I29698356"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Attique","raw_affiliation_strings":["Department of Computer Science, HITEC University, Museum Road Taxila, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, HITEC University, Museum Road Taxila, Pakistan","institution_ids":["https://openalex.org/I29698356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085927182","display_name":"Muhammad Zeeshan Tahir","orcid":"https://orcid.org/0000-0002-7925-3865"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Zeeshan Tahir","raw_affiliation_strings":["Department of CS, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CS, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026747471","display_name":"Mussarat Yasmim","orcid":null},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Mussarat Yasmim","raw_affiliation_strings":["Department of CS, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CS, COMSATS University Islamabad, Wah Campus, Wah Cantt, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018549351","display_name":"Tanzila Saba","orcid":"https://orcid.org/0000-0003-3138-3801"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Tanzila Saba","raw_affiliation_strings":["Artificial Intelligence & Data Analytics (AIDA) Lab, CCIS Prince Sultan University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-3138-3801","affiliations":[{"raw_affiliation_string":"Artificial Intelligence & Data Analytics (AIDA) Lab, CCIS Prince Sultan University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I142024983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082834230","display_name":"U. John Tanik","orcid":"https://orcid.org/0000-0001-6511-9369"},"institutions":[{"id":"https://openalex.org/I206651237","display_name":"East Texas A&M University","ror":"https://ror.org/01red3556","country_code":"US","type":"education","lineage":["https://openalex.org/I206651237"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Urcun John Tanik","raw_affiliation_strings":["Texas A&M University-Commerce, Commerce, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University-Commerce, Commerce, USA","institution_ids":["https://openalex.org/I206651237"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0487,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.92148744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"32","issue":"2","first_page":"67","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9944000244140625,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9898999929428101,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8289878964424133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7807201147079468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6301898956298828},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5880036354064941},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5697984099388123},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48172882199287415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46770188212394714},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.4669989347457886},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45882606506347656},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.454720675945282},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44537901878356934},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.42508286237716675},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2116786539554596},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19017630815505981}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8289878964424133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807201147079468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6301898956298828},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5880036354064941},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5697984099388123},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48172882199287415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46770188212394714},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.4669989347457886},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45882606506347656},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.454720675945282},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44537901878356934},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.42508286237716675},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2116786539554596},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19017630815505981},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/joeuc.2020040104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/joeuc.2020040104","pdf_url":null,"source":{"id":"https://openalex.org/S80285584","display_name":"Journal of Organizational and End User Computing","issn_l":"1546-2234","issn":["1546-2234","1546-5012"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Organizational and End User Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.4018/joeuc.2020040104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/joeuc.2020040104","pdf_url":null,"source":{"id":"https://openalex.org/S80285584","display_name":"Journal of Organizational and End User Computing","issn_l":"1546-2234","issn":["1546-2234","1546-5012"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Organizational and End User Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W650677643","https://openalex.org/W1975036395","https://openalex.org/W2003629289","https://openalex.org/W2025085710","https://openalex.org/W2026800967","https://openalex.org/W2039896520","https://openalex.org/W2044556177","https://openalex.org/W2051960621","https://openalex.org/W2052407810","https://openalex.org/W2055560876","https://openalex.org/W2062036973","https://openalex.org/W2113408265","https://openalex.org/W2119387367","https://openalex.org/W2139916508","https://openalex.org/W2149516292","https://openalex.org/W2150947894","https://openalex.org/W2155017874","https://openalex.org/W2158610774","https://openalex.org/W2173942287","https://openalex.org/W2197764878","https://openalex.org/W2201781451","https://openalex.org/W2322772590","https://openalex.org/W2487998633","https://openalex.org/W2491913295","https://openalex.org/W2528935608","https://openalex.org/W2535110112","https://openalex.org/W2546060718","https://openalex.org/W2557789635","https://openalex.org/W2574864336","https://openalex.org/W2587215467","https://openalex.org/W2587763979","https://openalex.org/W2588958425","https://openalex.org/W2590349455","https://openalex.org/W2590378768","https://openalex.org/W2593368053","https://openalex.org/W2593890892","https://openalex.org/W2604330447","https://openalex.org/W2621259784","https://openalex.org/W2685696850","https://openalex.org/W2748854270","https://openalex.org/W2751966700","https://openalex.org/W2763949715","https://openalex.org/W2765490497","https://openalex.org/W2765769400","https://openalex.org/W2766078008","https://openalex.org/W2766351598","https://openalex.org/W2766594999","https://openalex.org/W2766732836","https://openalex.org/W2775870354","https://openalex.org/W2782079669","https://openalex.org/W2789587241","https://openalex.org/W2791422233","https://openalex.org/W2793006349","https://openalex.org/W2796595044","https://openalex.org/W2799476711","https://openalex.org/W2801208592","https://openalex.org/W2801303530","https://openalex.org/W2803168855","https://openalex.org/W2804043979","https://openalex.org/W2807079708","https://openalex.org/W2809100241","https://openalex.org/W2962755669","https://openalex.org/W3003662786","https://openalex.org/W4250978822","https://openalex.org/W4253950112"],"related_works":["https://openalex.org/W3096301266","https://openalex.org/W1935875823","https://openalex.org/W2110230079","https://openalex.org/W1975589496","https://openalex.org/W1546956436","https://openalex.org/W2336974148","https://openalex.org/W2751620655","https://openalex.org/W2345184372","https://openalex.org/W2809865423","https://openalex.org/W40964945"],"abstract_inverted_index":{"Gait":[0],"is":[1,21],"a":[2,18],"vital":[3],"biometric":[4],"process":[5],"for":[6,23,90],"human":[7,24],"identification":[8],"in":[9,46,119],"the":[10,49,100],"domain":[11],"of":[12,43,51,60,68,131],"machine":[13,87],"learning.":[14],"In":[15],"this":[16],"article,":[17],"new":[19],"method":[20,126],"implemented":[22],"gait":[25],"recognition":[26,129],"based":[27,64],"on":[28,65,106,133,136,140],"accurate":[29],"segmentation":[30],"and":[31,71,76,80,98,113,121,138],"multi-level":[32],"features":[33,78],"extraction.":[34],"Four":[35],"major":[36],"steps":[37],"are":[38,104],"performed":[39],"including:":[40],"a)":[41],"enhancement":[42],"motion":[44],"region":[45],"frame":[47],"by":[48],"implementation":[50,67],"linear":[52],"transformation":[53],"with":[54],"HSI":[55],"color":[56],"space;":[57],"b)":[58],"Region":[59],"Interest":[61],"(ROI)":[62],"detection":[63],"parallel":[66,81],"optical":[69],"flow":[70],"background":[72],"subtraction;":[73],"c)":[74],"shape":[75],"geometric":[77],"extraction":[79],"fusion;":[82],"d)":[83],"Multi-class":[84],"support":[85],"vector":[86],"(MSVM)":[88],"utilization":[89],"recognition.":[91],"The":[92,124],"presented":[93],"approach":[94],"reduces":[95],"error":[96],"rate":[97],"increases":[99],"CCR.":[101],"Extensive":[102],"experiments":[103],"done":[105],"three":[107],"data":[108],"sets":[109],"namely":[110],"CASIA-A,":[111,134],"CASIA-B":[112,137],"CASIA-C":[114],"which":[115],"present":[116],"different":[117],"variations":[118],"clothing":[120],"carrying":[122],"conditions.":[123],"proposed":[125],"achieved":[127],"maximum":[128],"results":[130],"98.6%":[132],"93.5%":[135],"97.3%":[139],"CASIA-C,":[141],"respectively.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":11}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}