{"id":"https://openalex.org/W2343787044","doi":"https://doi.org/10.1109/iwcia.2015.7449468","title":"Hybrid method for Gait recognition using SVM and Baysian Network","display_name":"Hybrid method for Gait recognition using SVM and Baysian Network","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2343787044","doi":"https://doi.org/10.1109/iwcia.2015.7449468","mag":"2343787044"},"language":"en","primary_location":{"id":"doi:10.1109/iwcia.2015.7449468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia.2015.7449468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 8th International Workshop on Computational Intelligence and Applications (IWCIA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103246286","display_name":"Ayushi Gupta","orcid":"https://orcid.org/0000-0002-6909-6691"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"A. Gupta","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Sydney, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113513517","display_name":"P. W. C. Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"P.W.C. Prasad","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Sydney, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011606467","display_name":"Abeer Alsadoon","orcid":"https://orcid.org/0000-0002-2309-3540"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abeer Alsadoon","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Sydney, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079447913","display_name":"Kamini Bajaj","orcid":null},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kamini Bajaj","raw_affiliation_strings":["School of Computing Engineering and Mathematics, University of Western Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing Engineering and Mathematics, University of Western Sydney, Australia","institution_ids":["https://openalex.org/I63525965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103246286"],"corresponding_institution_ids":["https://openalex.org/I153230381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.16647367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"89","last_page":"94"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9911999702453613,"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":0.9790999889373779,"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/support-vector-machine","display_name":"Support vector machine","score":0.7519298791885376},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7487229704856873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7440512776374817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6877068281173706},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6256574392318726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.573826014995575},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5057494640350342},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.5032734274864197},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4755915403366089},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46248894929885864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41421374678611755}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7519298791885376},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7487229704856873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440512776374817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6877068281173706},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6256574392318726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.573826014995575},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5057494640350342},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.5032734274864197},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4755915403366089},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46248894929885864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41421374678611755},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcia.2015.7449468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia.2015.7449468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 8th International Workshop on Computational Intelligence and Applications (IWCIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1964792465","https://openalex.org/W1976019979","https://openalex.org/W1981010871","https://openalex.org/W1998449085","https://openalex.org/W1998667615","https://openalex.org/W2126481981","https://openalex.org/W2130265848","https://openalex.org/W2152247946","https://openalex.org/W2317922512"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W2183964146","https://openalex.org/W3185413894","https://openalex.org/W1905194803","https://openalex.org/W2137411393","https://openalex.org/W1923394858","https://openalex.org/W2386960251"],"abstract_inverted_index":{"The":[0,112,167],"Gait":[1,79,118],"recognition":[2,62,80,85],"is":[3,115,127,138],"the":[4,20,26,36,47,58,109,134,141,146,172],"2nd":[5],"generation":[6],"of":[7,38,95],"biometric":[8],"identification":[9,37],"technology":[10],"which":[11],"aims":[12],"to":[13,25,130,144],"identify":[14],"people":[15],"at":[16],"a":[17,64,124,176],"distance":[18],"by":[19],"way":[21],"they":[22],"walk.":[23],"Due":[24],"fact":[27],"that":[28,57,171],"there":[29],"has":[30,54,175],"been":[31,55],"increasing":[32],"research":[33],"interest":[34],"in":[35,41,68],"an":[39,77,100],"individual":[40],"access":[42],"controlled":[43],"environments":[44],"such":[45,69],"as":[46,99],"airports,":[48],"banks":[49],"and":[50,88,106,120,123,151,157,164],"car":[51],"parks,":[52],"it":[53],"observed":[56],"effective":[59,78,178],"human":[60],"gait":[61],"plays":[63],"very":[65,177],"important":[66],"role":[67],"video":[70],"surveillance":[71],"based":[72],"applications.":[73],"This":[74],"paper":[75],"proposes":[76],"method":[81,93],"for":[82,162],"automatic":[83],"person":[84],"using":[86,117,140],"SVM":[87],"Bayesian":[89,158],"Network.":[90],"In":[91],"this":[92],"frames":[94],"videos":[96,103],"are":[97,104,107,160],"used":[98,129,161],"input,":[101],"these":[102],"live":[105],"from":[108,133],"CASIA":[110],"dataset.":[111],"background":[113],"subtraction":[114],"done":[116,139],"Pal":[119,121],"Entropy":[122],"Median":[125],"Filter":[126],"also":[128],"remove":[131],"noise":[132],"background.":[135],"Feature":[136],"selection":[137],"Hanavan's":[142],"model":[143],"reduce":[145],"computational":[147],"cost":[148],"during":[149],"training":[150,163],"recognition.":[152],"Support":[153],"Vector":[154],"Machine":[155],"(SVM)":[156],"Network":[159],"testing":[165],"purpose.":[166],"experimental":[168],"results":[169],"show":[170],"proposed":[173],"approach":[174],"Correct":[179],"Classification":[180],"rate":[181],"(CCR).":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
