{"id":"https://openalex.org/W3193364105","doi":"https://doi.org/10.1109/icip42928.2021.9506490","title":"Progressive Spatio-Temporal Feature Extraction Model For Gait Recognition","display_name":"Progressive Spatio-Temporal Feature Extraction Model For Gait Recognition","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3193364105","doi":"https://doi.org/10.1109/icip42928.2021.9506490","mag":"3193364105"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072056125","display_name":"Jingran Su","orcid":"https://orcid.org/0000-0002-9873-1770"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingran Su","raw_affiliation_strings":["Northwestern Polytechnical University, Xi’an,School of Computer Science,Shaanxi,P. R. China,710072","School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi’an,School of Computer Science,Shaanxi,P. R. China,710072","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021991838","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-4032-8049"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi’an,School of Artificial Intelligence, Optics and Electronics (iOPEN),Shaanxi,P. R. China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi’an,School of Artificial Intelligence, Optics and Electronics (iOPEN),Shaanxi,P. R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["Northwestern Polytechnical University, Xi’an,School of Artificial Intelligence, Optics and Electronics (iOPEN),Shaanxi,P. R. China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi’an,School of Artificial Intelligence, Optics and Electronics (iOPEN),Shaanxi,P. R. China,710072","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1004","last_page":"1008"},"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":0.9829999804496765,"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":0.960099995136261,"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/gait","display_name":"Gait","score":0.7915412187576294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7669726610183716},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7532997131347656},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.750660240650177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.729945957660675},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7087888717651367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.708071231842041},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6056776642799377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.508396327495575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1461111307144165}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7915412187576294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7669726610183716},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7532997131347656},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.750660240650177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729945957660675},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7087888717651367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.708071231842041},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6056776642799377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.508396327495575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1461111307144165},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2018480038","https://openalex.org/W2038118117","https://openalex.org/W2059901520","https://openalex.org/W2104769793","https://openalex.org/W2322772590","https://openalex.org/W2584637367","https://openalex.org/W2606165952","https://openalex.org/W2734795148","https://openalex.org/W2765328347","https://openalex.org/W2807461033","https://openalex.org/W2963180826","https://openalex.org/W2963301258","https://openalex.org/W2963842104","https://openalex.org/W2963854019","https://openalex.org/W2966138416","https://openalex.org/W3015249368","https://openalex.org/W3035400973","https://openalex.org/W3089487103","https://openalex.org/W3097009184","https://openalex.org/W3159497806","https://openalex.org/W6733146167","https://openalex.org/W6747428963","https://openalex.org/W6785572083","https://openalex.org/W6795018884"],"related_works":["https://openalex.org/W2912737833","https://openalex.org/W1504288058","https://openalex.org/W2378705916","https://openalex.org/W2331674254","https://openalex.org/W2811390910","https://openalex.org/W2167293474","https://openalex.org/W2146076056","https://openalex.org/W3042897387","https://openalex.org/W2048505601","https://openalex.org/W2546942002"],"abstract_inverted_index":{"As":[0],"a":[1,57],"new":[2,7],"biometric":[3],"feature,":[4],"gait":[5,14,32,38,52],"brings":[6],"possibilities":[8],"for":[9],"personal":[10],"recognition.":[11],"At":[12],"present,":[13],"recognition":[15],"methods":[16],"mainly":[17],"extract":[18],"appearance":[19],"features,":[20],"but":[21],"seldom":[22],"use":[23],"temporal":[24,63,79],"information,":[25],"such":[26],"as":[27],"the":[28,47,71,76,95,98,111,117,122],"method":[29,100],"based":[30],"on":[31,116],"energy":[33],"images":[34],"(GEI)":[35],"to":[36,45,69,101],"fuse":[37,62],"sequence":[39],"into":[40,105],"one":[41],"image.":[42],"In":[43],"order":[44],"mine":[46],"motion":[48],"patterns":[49],"contained":[50],"in":[51],"sequences,":[53],"this":[54],"paper":[55],"proposes":[56],"model":[58,77,96],"that":[59],"can":[60,109],"gradually":[61],"features":[64,68,90],"while":[65],"extracting":[66],"spatial":[67,112],"achieve":[70],"spatiotemporal":[72],"feature":[73,86,103],"extraction:":[74],"1)":[75],"mines":[78],"information":[80],"by":[81],"passing":[82],"partial":[83],"channels":[84],"of":[85,91,126],"maps":[87],"and":[88,124],"fusing":[89],"adjacent":[92],"frames;":[93],"2)":[94],"adapts":[97],"part-based":[99],"split":[102],"map":[104],"several":[106],"parts,":[107],"which":[108],"refine":[110],"features.":[113],"Extensive":[114],"experiments":[115],"challenging":[118],"datasets":[119],"CASIA-B":[120],"demonstrate":[121],"superiority":[123],"effectiveness":[125],"our":[127],"proposed":[128],"model.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}