{"id":"https://openalex.org/W2754666677","doi":"https://doi.org/10.1109/icip.2017.8296252","title":"Deep multi-task learning for gait-based biometrics","display_name":"Deep multi-task learning for gait-based biometrics","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2754666677","doi":"https://doi.org/10.1109/icip.2017.8296252","mag":"2754666677"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5041004091","display_name":"Manuel J. Mar\u00edn\u2010Jim\u00e9nez","orcid":"https://orcid.org/0000-0001-9294-6714"},"institutions":[{"id":"https://openalex.org/I67327644","display_name":"Cordoba University","ror":"https://ror.org/01d5zhz86","country_code":"US","type":"education","lineage":["https://openalex.org/I67327644"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M.J. Marin-Jimenez","raw_affiliation_strings":["University of Cordoba"],"affiliations":[{"raw_affiliation_string":"University of Cordoba","institution_ids":["https://openalex.org/I67327644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042354417","display_name":"Francisco M. Castro","orcid":"https://orcid.org/0000-0002-7340-4976"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F.M. Castro","raw_affiliation_strings":["University of Malaga"],"affiliations":[{"raw_affiliation_string":"University of Malaga","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029567783","display_name":"Nicol\u00e1s Guil","orcid":"https://orcid.org/0000-0003-3431-6516"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"N. Guil","raw_affiliation_strings":["University of Malaga"],"affiliations":[{"raw_affiliation_string":"University of Malaga","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003508045","display_name":"Fernando De la Torre","orcid":"https://orcid.org/0000-0002-5143-3709"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F. de la Torre","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049637914","display_name":"R. Medina-Carnicer","orcid":"https://orcid.org/0000-0003-4481-0614"},"institutions":[{"id":"https://openalex.org/I67327644","display_name":"Cordoba University","ror":"https://ror.org/01d5zhz86","country_code":"US","type":"education","lineage":["https://openalex.org/I67327644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Medina-Carnicer","raw_affiliation_strings":["University of Cordoba"],"affiliations":[{"raw_affiliation_string":"University of Cordoba","institution_ids":["https://openalex.org/I67327644"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041004091"],"corresponding_institution_ids":["https://openalex.org/I67327644"],"apc_list":null,"apc_paid":null,"fwci":3.5689,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.93300632,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.989799976348877,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9879000186920166,"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/biometrics","display_name":"Biometrics","score":0.8614887595176697},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.8080114126205444},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7713017463684082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7128958702087402},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6176134943962097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5038592219352722},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.48944154381752014},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4537898898124695},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.453330397605896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41283828020095825},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37410983443260193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3553988039493561},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.1272849440574646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09703424572944641},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06511139869689941}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8614887595176697},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.8080114126205444},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7713017463684082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7128958702087402},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6176134943962097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5038592219352722},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.48944154381752014},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4537898898124695},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.453330397605896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41283828020095825},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37410983443260193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3553988039493561},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.1272849440574646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09703424572944641},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06511139869689941},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2017.8296252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:riuma.uma.es:10630/37143","is_oa":false,"landing_page_url":"https://hdl.handle.net/10630/37143","pdf_url":null,"source":{"id":"https://openalex.org/S4306401385","display_name":"Repositorio Institucional de la Universidad de M\u00e1laga (University of M\u00e1laga)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82767444","host_organization_name":"Universidad de M\u00e1laga","host_organization_lineage":["https://openalex.org/I82767444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"AM"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1573546770","https://openalex.org/W1755205674","https://openalex.org/W1896424170","https://openalex.org/W1963882359","https://openalex.org/W1984031350","https://openalex.org/W2011058239","https://openalex.org/W2088616581","https://openalex.org/W2116626343","https://openalex.org/W2126680226","https://openalex.org/W2138621090","https://openalex.org/W2149581961","https://openalex.org/W2163605009","https://openalex.org/W2287234120","https://openalex.org/W2291015381","https://openalex.org/W2322772590","https://openalex.org/W2346541858","https://openalex.org/W2517225990","https://openalex.org/W2913340405","https://openalex.org/W2963589138","https://openalex.org/W4235765578","https://openalex.org/W6684191040","https://openalex.org/W6700289523"],"related_works":["https://openalex.org/W2538303932","https://openalex.org/W4307876407","https://openalex.org/W2993315943","https://openalex.org/W3042568131","https://openalex.org/W2378705916","https://openalex.org/W2622043620","https://openalex.org/W2533128940","https://openalex.org/W1558300049","https://openalex.org/W3201159544","https://openalex.org/W2754666677"],"abstract_inverted_index":{"The":[0],"task":[1,71],"of":[2,84,109],"identifying":[3],"people":[4],"by":[5,61],"the":[6,69,81],"way":[7],"they":[8],"walk":[9],"is":[10,17,77,87,98],"known":[11],"as":[12,24,36,46,104],"`gait":[13],"recognition'.":[14],"Although":[15],"gait":[16,35],"mainly":[18],"used":[19],"for":[20,55],"identification,":[21],"additional":[22],"tasks":[23,45],"gender":[25,119],"recognition":[26,82],"or":[27,89],"age":[28],"estimation":[29],"may":[30],"be":[31],"addressed":[32],"based":[33],"on":[34],"well.":[37],"In":[38],"such":[39],"cases,":[40],"traditional":[41],"approaches":[42],"consider":[43],"those":[44],"independent":[47],"ones,":[48],"defining":[49],"separated":[50],"task-specific":[51],"features":[52,117],"and":[53,80,113,120],"models":[54,86],"them.":[56],"This":[57],"paper":[58],"shows":[59],"that":[60,102],"training":[62],"jointly":[63],"more":[64,92],"than":[65,74],"one":[66],"gait-based":[67],"tasks,":[68],"identification":[70],"converges":[72],"faster":[73],"when":[75],"it":[76],"trained":[78],"independently,":[79],"performance":[83],"multi-task":[85,100],"equal":[88],"superior":[90],"to":[91],"complex":[93],"single-task":[94],"ones.":[95],"Our":[96],"model":[97],"a":[99,106],"CNN":[101],"receives":[103],"input":[105],"fixed-length":[107],"sequence":[108],"optical":[110],"flow":[111],"channels":[112],"outputs":[114],"several":[115],"biometric":[116],"(identity,":[118],"age).":[121]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
