{"id":"https://openalex.org/W2035725550","doi":"https://doi.org/10.1109/tip.2014.2371335","title":"Gait-Based Person Recognition Using Arbitrary View Transformation Model","display_name":"Gait-Based Person Recognition Using Arbitrary View Transformation Model","publication_year":2014,"publication_date":"2014-11-20","ids":{"openalex":"https://openalex.org/W2035725550","doi":"https://doi.org/10.1109/tip.2014.2371335","mag":"2035725550","pmid":"https://pubmed.ncbi.nlm.nih.gov/25423652"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2371335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2371335","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012748357","display_name":"Daigo Muramatsu","orcid":"https://orcid.org/0000-0002-0053-4868"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daigo Muramatsu","raw_affiliation_strings":["Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062923905","display_name":"Akira Shiraishi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Shiraishi","raw_affiliation_strings":["Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010680369","display_name":"Yasushi Makihara","orcid":"https://orcid.org/0000-0002-7071-4872"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Makihara","raw_affiliation_strings":["Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006125746","display_name":"Md. Zasim Uddin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Md Zasim Uddin","raw_affiliation_strings":["Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040773064","display_name":"Yasushi Yagi","orcid":"https://orcid.org/0000-0002-3546-8071"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Yagi","raw_affiliation_strings":["Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of the Scientific and Industrial Research, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.5164,"has_fulltext":false,"cited_by_count":121,"citation_normalized_percentile":{"value":0.97800795,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"140","last_page":"154"},"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":0.979200005531311,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9663000106811523,"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":0.7647272348403931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6908915638923645},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6889215111732483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6522567272186279},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5919821858406067},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5626184344291687},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5536693334579468},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5214638113975525},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5096590518951416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4280939996242523},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.42518797516822815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22294622659683228}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7647272348403931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6908915638923645},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6889215111732483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6522567272186279},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5919821858406067},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5626184344291687},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5536693334579468},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5214638113975525},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5096590518951416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4280939996242523},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.42518797516822815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22294622659683228},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2371335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2371335","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:25423652","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25423652","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G4148342932","display_name":"Ambient Surveillance using a Wearable Lensless Omnidirectional Sensor - Prevention of Crimes against Children -","funder_award_id":"21220003","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W116734009","https://openalex.org/W1481827761","https://openalex.org/W1523682477","https://openalex.org/W1561782558","https://openalex.org/W1610824330","https://openalex.org/W1967979390","https://openalex.org/W1969443303","https://openalex.org/W1971239273","https://openalex.org/W1980941928","https://openalex.org/W1992072469","https://openalex.org/W1999724824","https://openalex.org/W2002658919","https://openalex.org/W2016327746","https://openalex.org/W2018331988","https://openalex.org/W2038118117","https://openalex.org/W2050785999","https://openalex.org/W2057226972","https://openalex.org/W2058897916","https://openalex.org/W2080982032","https://openalex.org/W2094112533","https://openalex.org/W2098605450","https://openalex.org/W2100165857","https://openalex.org/W2103610282","https://openalex.org/W2104475159","https://openalex.org/W2110432750","https://openalex.org/W2115203491","https://openalex.org/W2116208049","https://openalex.org/W2120526922","https://openalex.org/W2122098412","https://openalex.org/W2126680226","https://openalex.org/W2130017751","https://openalex.org/W2138618573","https://openalex.org/W2146968264","https://openalex.org/W2148568366","https://openalex.org/W2149527187","https://openalex.org/W2151458682","https://openalex.org/W2182149459","https://openalex.org/W3035074107","https://openalex.org/W6628619363","https://openalex.org/W6633663260","https://openalex.org/W6674852819","https://openalex.org/W6680709798","https://openalex.org/W6682476533","https://openalex.org/W6685787430","https://openalex.org/W6779141291"],"related_works":["https://openalex.org/W120096811","https://openalex.org/W3185413894","https://openalex.org/W2923160319","https://openalex.org/W2945912943","https://openalex.org/W2124490647","https://openalex.org/W4254098118","https://openalex.org/W2587763979","https://openalex.org/W1905194803","https://openalex.org/W2137411393","https://openalex.org/W1923394858"],"abstract_inverted_index":{"Gait":[0],"recognition":[1,82,215],"is":[2,12,21],"a":[3,24,66,94,172],"useful":[4],"biometric":[5],"trait":[6],"for":[7,191,199],"person":[8],"authentication":[9],"because":[10],"it":[11],"usable":[13],"even":[14],"with":[15,76,156],"low":[16],"image":[17],"resolution.":[18],"One":[19],"challenge":[20],"robustness":[22],"to":[23,36,213],"view":[25,29,64,174,206],"change":[26],"(cross-view":[27],"matching);":[28],"transformation":[30,210],"models":[31],"(VTMs)":[32],"have":[33],"been":[34],"proposed":[35],"solve":[37],"this.":[38],"The":[39],"VTMs":[40],"work":[41],"well":[42],"if":[43],"the":[44,48,56,70,119,123,134,139,145,149,154,161,180,203,227,230,237,241],"target":[45,71,124,150],"views":[46,72,147,190,196],"are":[47,59],"same":[49,146],"as":[50,148],"their":[51],"discrete":[52,77],"training":[53,78,115,135],"views.":[54],"However,":[55],"gait":[57,97,111,130,141,157,181],"traits":[58,98],"observed":[60],"from":[61,99,118,160],"an":[62,87,100,105],"arbitrary":[63,88,101],"in":[65,81,122,222,243,246],"real":[67],"situation.":[68],"Thus,":[69],"may":[73,197],"not":[74],"coincide":[75],"views,":[79,151],"resulting":[80],"accuracy":[83,231,242],"degradation.":[84],"We":[85,126],"propose":[86],"VTM":[89],"(AVTM)":[90],"that":[91,226,236],"accurately":[92],"matches":[93],"pair":[95],"of":[96,114,133,232],"view.":[102],"To":[103],"realize":[104],"AVTM,":[106],"we":[107,166],"first":[108],"construct":[109],"3D":[110,140],"volume":[112,142],"sequences":[113,132,143],"subjects,":[116],"disjoint":[117],"test":[120],"subjects":[121,136],"scene.":[125],"then":[127],"generate":[128],"2D":[129,162],"silhouette":[131],"by":[137,170],"projecting":[138],"onto":[144],"and":[152,186,235],"train":[153],"AVTM":[155,169,228],"features":[158],"extracted":[159],"sequences.":[163],"In":[164],"addition,":[165],"extend":[167],"our":[168],"incorporating":[171],"part-dependent":[173,188,204],"selection":[175,207],"scheme":[176],"(AVTM_PdVS),":[177],"which":[178],"divides":[179],"feature":[182],"into":[183],"several":[184],"parts,":[185,202],"sets":[187,220],"destination":[189,195,205],"transformation.":[192],"Because":[193],"appropriate":[194],"differ":[198],"different":[200,223],"body":[201],"can":[208],"suppress":[209],"errors,":[211],"leading":[212],"increased":[214],"accuracy.":[216],"Experiments":[217],"using":[218],"data":[219],"collected":[221],"settings":[224],"show":[225],"improves":[229,240],"cross-view":[233],"matching":[234],"AVTM_PdVS":[238],"further":[239],"many":[244],"cases,":[245],"particular,":[247],"verification":[248],"scenarios.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":24},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}