{"id":"https://openalex.org/W2990744528","doi":"https://doi.org/10.1186/s41074-019-0061-3","title":"Spatio-temporal silhouette sequence reconstruction for gait recognition against occlusion","display_name":"Spatio-temporal silhouette sequence reconstruction for gait recognition against occlusion","publication_year":2019,"publication_date":"2019-11-20","ids":{"openalex":"https://openalex.org/W2990744528","doi":"https://doi.org/10.1186/s41074-019-0061-3","mag":"2990744528"},"language":"en","primary_location":{"id":"doi:10.1186/s41074-019-0061-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s41074-019-0061-3","pdf_url":"https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-019-0061-3.pdf","source":{"id":"https://openalex.org/S10995576","display_name":"IPSJ Transactions on Computer Vision and Applications","issn_l":"1882-6695","issn":["1882-6695"],"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":"IPSJ Transactions on Computer Vision and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-019-0061-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Md. Zasim Uddin","raw_affiliation_strings":["The Institute of Scientific and Industrial Research, Osaka University, Osaka, 567-0047, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research, Osaka University, Osaka, 567-0047, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","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":["The Institute of Scientific and Industrial Research, Osaka University, Osaka, 567-0047, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research, Osaka University, Osaka, 567-0047, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002778538","display_name":"Noriko Takemura","orcid":"https://orcid.org/0000-0003-1977-4690"},"institutions":[{"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":"Noriko Takemura","raw_affiliation_strings":["The Institute for Datability Science, Osaka University, Osaka, 567-0047, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute for Datability Science, Osaka University, Osaka, 567-0047, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049700514","display_name":"Md Atiqur Rahman Ahad","orcid":"https://orcid.org/0000-0001-8355-7004"},"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. Atiqur Rahman Ahad","raw_affiliation_strings":["The Institute of Scientific and Industrial Research, Osaka University, Osaka, 567-0047, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research, Osaka University, Osaka, 567-0047, 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":["The Institute of Scientific and Industrial Research, Osaka University, Osaka, 567-0047, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research, Osaka University, Osaka, 567-0047, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006125746"],"corresponding_institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":1.4519,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.80811236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"1","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":0.9997000098228455,"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":0.9997000098228455,"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":0.9883000254631042,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.9063714146614075},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.8015811443328857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7275002002716064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7028723359107971},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6252608895301819},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4970887005329132},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4897778034210205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4489993155002594},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42528235912323},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27149534225463867},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.10469985008239746}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9063714146614075},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.8015811443328857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275002002716064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7028723359107971},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6252608895301819},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4970887005329132},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4897778034210205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4489993155002594},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42528235912323},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27149534225463867},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.10469985008239746},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s41074-019-0061-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s41074-019-0061-3","pdf_url":"https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-019-0061-3.pdf","source":{"id":"https://openalex.org/S10995576","display_name":"IPSJ Transactions on Computer Vision and Applications","issn_l":"1882-6695","issn":["1882-6695"],"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":"IPSJ Transactions on Computer Vision and Applications","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:587f60d89391445389bd1f37f6c61fd4","is_oa":false,"landing_page_url":"https://doaj.org/article/587f60d89391445389bd1f37f6c61fd4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"IPSJ Transactions on Computer Vision and Applications, Vol 11, Iss 1, Pp 1-18 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s41074-019-0061-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s41074-019-0061-3","pdf_url":"https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-019-0061-3.pdf","source":{"id":"https://openalex.org/S10995576","display_name":"IPSJ Transactions on Computer Vision and Applications","issn_l":"1882-6695","issn":["1882-6695"],"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":"IPSJ Transactions on Computer Vision and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G5383836251","display_name":"Proposal of gait model related to intellect, emotion, volition and physical and its application to suspicious person detection","funder_award_id":"18H04115","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7437485972","display_name":"Person Recognition from Biometric Data without Common Observable Region","funder_award_id":"15K12037","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990744528.pdf","grobid_xml":"https://content.openalex.org/works/W2990744528.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1516635831","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1921523184","https://openalex.org/W1968882529","https://openalex.org/W1983364832","https://openalex.org/W2018331988","https://openalex.org/W2035725550","https://openalex.org/W2066916895","https://openalex.org/W2072510697","https://openalex.org/W2080982032","https://openalex.org/W2099471712","https://openalex.org/W2104335344","https://openalex.org/W2113305835","https://openalex.org/W2116013899","https://openalex.org/W2119448796","https://openalex.org/W2120861453","https://openalex.org/W2125389028","https://openalex.org/W2141200610","https://openalex.org/W2164490837","https://openalex.org/W2278642668","https://openalex.org/W2286929393","https://openalex.org/W2295936755","https://openalex.org/W2408022155","https://openalex.org/W2482059284","https://openalex.org/W2520707650","https://openalex.org/W2611104282","https://openalex.org/W2737734839","https://openalex.org/W2738588019","https://openalex.org/W2739325416","https://openalex.org/W2749658623","https://openalex.org/W2769102608","https://openalex.org/W2788751553","https://openalex.org/W2790713194","https://openalex.org/W2807624910","https://openalex.org/W2886714066","https://openalex.org/W2962879692","https://openalex.org/W2963174698","https://openalex.org/W2963420272","https://openalex.org/W2963684088","https://openalex.org/W2963917315","https://openalex.org/W3043547428","https://openalex.org/W3102937540","https://openalex.org/W6602254124","https://openalex.org/W6607167723","https://openalex.org/W6608993855"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1906975550","https://openalex.org/W1965274140","https://openalex.org/W120096811","https://openalex.org/W2945912943","https://openalex.org/W4254098118","https://openalex.org/W2124490647","https://openalex.org/W2923160319","https://openalex.org/W2587763979"],"abstract_inverted_index":{"Abstract":[0],"Gait-based":[1],"features":[2,34,65,124],"provide":[3],"the":[4,27,47,112,117,122,134,137,155,162,168,194,198],"potential":[5],"for":[6,86],"a":[7,14,24,38,81,104,126],"subject":[8],"to":[9,69],"be":[10,21],"recognized":[11],"even":[12],"from":[13,97,125],"low-resolution":[15],"image":[16,76,130],"sequence,":[17,114],"and":[18,57,120],"they":[19],"can":[20],"captured":[22],"at":[23],"distance":[25],"without":[26],"subject\u2019s":[28],"cooperation.":[29],"Person":[30],"recognition":[31],"using":[32],"gait-based":[33,64],"(gait":[35],"recognition)":[36],"is":[37,80,161],"promising":[39],"real-life":[40],"application.":[41],"However,":[42],"several":[43],"body":[44],"parts":[45],"of":[46,53,136,157],"subjects":[48],"are":[49,66],"often":[50],"occluded":[51,99],"because":[52],"beams,":[54],"pillars,":[55],"cars":[56],"trees,":[58],"or":[59],"another":[60],"walking":[61],"person.":[62],"Therefore,":[63],"not":[67],"applicable":[68],"approaches":[70],"that":[71,166,193],"require":[72],"an":[73,98],"unoccluded":[74],"gait":[75,87,118,123,128],"sequence.":[77,131],"Occlusion":[78],"handling":[79],"challenging":[82,186],"but":[83],"important":[84],"issue":[85],"recognition.":[88],"In":[89],"this":[90],"paper,":[91],"we":[92,115,141],"propose":[93],"silhouette":[94],"sequence":[95,100],"reconstruction":[96],"(sVideo)":[101],"based":[102,145],"on":[103,146,184],"conditional":[105],"deep":[106],"generative":[107,139],"adversarial":[108,143,164],"network":[109,170],"(GAN).":[110],"From":[111],"reconstructed":[113],"estimate":[116],"cycle":[119,129],"extract":[121],"one":[127],"To":[132,154],"regularize":[133],"training":[135,172],"proposed":[138,180,195],"network,":[140],"use":[142],"loss":[144,149,165],"triplet":[147],"hinge":[148],"incorporating":[150,174],"Wasserstein":[151],"GAN":[152],"(WGAN-hinge).":[153],"best":[156],"our":[158],"knowledge,":[159],"WGAN-hinge":[160],"first":[163],"supervises":[167],"generator":[169],"during":[171],"by":[173],"pairwise":[175],"similarity":[176],"ranking":[177],"information.":[178],"The":[179,189],"approach":[181,196],"was":[182],"evaluated":[183],"multiple":[185],"occlusion":[187],"patterns.":[188],"experimental":[190],"results":[191],"demonstrate":[192],"outperforms":[197],"existing":[199],"state-of-the-art":[200],"benchmarks.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}