{"id":"https://openalex.org/W3016221379","doi":"https://doi.org/10.1109/iciis47346.2019.9063346","title":"Gaussian Filtered Gait Energy Template and Centroid Corner Distance Features for Human Gait Recognition","display_name":"Gaussian Filtered Gait Energy Template and Centroid Corner Distance Features for Human Gait Recognition","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3016221379","doi":"https://doi.org/10.1109/iciis47346.2019.9063346","mag":"3016221379"},"language":"en","primary_location":{"id":"doi:10.1109/iciis47346.2019.9063346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis47346.2019.9063346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th Conference on Industrial and Information Systems (ICIIS)","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/A5101404811","display_name":"R. Anusha","orcid":"https://orcid.org/0000-0002-6538-7731"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]},{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R Anusha","raw_affiliation_strings":["National Institute of Technology, Surathkal, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Surathkal, Karnataka, India","institution_ids":["https://openalex.org/I11880225","https://openalex.org/I42014448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054016512","display_name":"C. D. Jaidhar","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]},{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C D Jaidhar","raw_affiliation_strings":["National Institute of Technology, Surathkal, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Surathkal, Karnataka, India","institution_ids":["https://openalex.org/I11880225","https://openalex.org/I42014448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0997,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47428979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"43","issue":null,"first_page":"425","last_page":"430"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9661999940872192,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9606999754905701,"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/silhouette","display_name":"Silhouette","score":0.9026203751564026},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.8078016042709351},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7893766164779663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7687323093414307},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7454968094825745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6582280397415161},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6578201055526733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5860314965248108},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5348946452140808},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.5238142609596252},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.494825541973114},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.49233996868133545},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4703056216239929},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4399731457233429},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4244089722633362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23833060264587402},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08125072717666626}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9026203751564026},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8078016042709351},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7893766164779663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7687323093414307},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7454968094825745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582280397415161},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6578201055526733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5860314965248108},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5348946452140808},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.5238142609596252},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.494825541973114},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.49233996868133545},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4703056216239929},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4399731457233429},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4244089722633362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23833060264587402},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08125072717666626},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciis47346.2019.9063346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis47346.2019.9063346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8600000143051147,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W799010151","https://openalex.org/W1608522486","https://openalex.org/W1891846045","https://openalex.org/W1924008556","https://openalex.org/W1971358173","https://openalex.org/W1975036395","https://openalex.org/W1977543168","https://openalex.org/W1989696410","https://openalex.org/W1995971015","https://openalex.org/W2011058239","https://openalex.org/W2018480038","https://openalex.org/W2040270931","https://openalex.org/W2080982032","https://openalex.org/W2085810020","https://openalex.org/W2097380742","https://openalex.org/W2104335344","https://openalex.org/W2105375534","https://openalex.org/W2126680226","https://openalex.org/W2130017751","https://openalex.org/W2130103520","https://openalex.org/W2137474370","https://openalex.org/W2138741920","https://openalex.org/W2151066636","https://openalex.org/W2158610774","https://openalex.org/W2173703311","https://openalex.org/W2197764878","https://openalex.org/W2201781451","https://openalex.org/W2315534604","https://openalex.org/W2519815561","https://openalex.org/W2616670695","https://openalex.org/W2621171517","https://openalex.org/W3098806148","https://openalex.org/W6636451495","https://openalex.org/W6672082370","https://openalex.org/W6675575696","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1906975550","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2001760863","https://openalex.org/W92081101"],"abstract_inverted_index":{"One":[0],"of":[1,12,37,109,137],"the":[2,35,38,55,106,110,118,135,138],"convincing":[3],"and":[4,23,62,86,125,143],"latest":[5],"biometric":[6],"systems":[7],"is":[8,82,88,115,141],"gait":[9,39,43,51,128,147],"recognition":[10],"because":[11],"its":[13],"ability":[14],"to":[15,33,74],"unobtrusively":[16],"identify":[17],"an":[18,30,69],"individual":[19],"at":[20],"a":[21,76],"distance":[22,98],"with":[24,49],"low-resolution":[25],"images.":[26],"This":[27],"study":[28],"proposes":[29],"efficient":[31],"method":[32,114],"enhance":[34],"performance":[36,136],"detection":[40],"system.":[41],"The":[42,95,112,130],"silhouette":[44],"images":[45],"are":[46],"initially":[47],"processed":[48],"two":[50],"portrayal":[52],"methods":[53,149],"as":[54],"feature":[56,107],"resources:":[57],"Gait":[58],"Energy":[59,65],"Image":[60,66],"(GEI)":[61],"Gaussian":[63],"Filtered-Gait":[64],"(GF-GEI).":[67],"Further,":[68],"effort":[70],"has":[71],"been":[72],"made":[73],"present":[75],"statistical":[77],"shape":[78],"examination":[79],"method,":[80],"which":[81],"established":[83],"on":[84,117],"GF-GEI,":[85],"it":[87],"divided":[89],"into":[90],"six":[91],"independent":[92],"horizontal":[93,103],"segments.":[94],"centroid":[96],"corner":[97],"features":[99],"obtained":[100],"from":[101],"these":[102],"segments":[104],"forms":[105],"vector":[108],"image.":[111],"proposed":[113,139],"assessed":[116],"widely":[119],"used":[120],"CASIA":[121,123],"A,":[122],"B,":[124],"OU-ISIR":[126],"D":[127],"datasets.":[129],"empirical":[131],"results":[132],"illustrate":[133],"that":[134],"approach":[140],"promising":[142],"surpasses":[144],"some":[145],"state-of-the-art":[146],"identification":[148],"recorded":[150],"in":[151],"literature.":[152]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
