{"id":"https://openalex.org/W4220926521","doi":"https://doi.org/10.1109/sii52469.2022.9708899","title":"2V-Gait: Gait Recognition using 3D LiDAR Robust to Changes in Walking Direction and Measurement Distance","display_name":"2V-Gait: Gait Recognition using 3D LiDAR Robust to Changes in Walking Direction and Measurement Distance","publication_year":2022,"publication_date":"2022-01-09","ids":{"openalex":"https://openalex.org/W4220926521","doi":"https://doi.org/10.1109/sii52469.2022.9708899"},"language":"en","primary_location":{"id":"doi:10.1109/sii52469.2022.9708899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii52469.2022.9708899","pdf_url":null,"source":{"id":"https://openalex.org/S4363605592","display_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","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/A5072856490","display_name":"Jeongho Ahn","orcid":"https://orcid.org/0009-0000-8676-7701"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jeongho Ahn","raw_affiliation_strings":["Kyushu University,Graduate School of Information Science and Electrical Engineering,Japan","Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University,Graduate School of Information Science and Electrical Engineering,Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101736518","display_name":"Kazuto Nakashima","orcid":"https://orcid.org/0000-0002-6773-7811"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuto Nakashima","raw_affiliation_strings":["Kyushu University,Faculty of Information Science and Electrical Engineering,Japan","Faculty of Information Science and Electrical Engineering, Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University,Faculty of Information Science and Electrical Engineering,Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Faculty of Information Science and Electrical Engineering, Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081485843","display_name":"Koki Yoshino","orcid":"https://orcid.org/0009-0001-6200-6788"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koki Yoshino","raw_affiliation_strings":["Kyushu University,Graduate School of Information Science and Electrical Engineering,Japan","Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University,Graduate School of Information Science and Electrical Engineering,Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047624385","display_name":"Yumi Iwashita","orcid":"https://orcid.org/0000-0001-8931-0571"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yumi Iwashita","raw_affiliation_strings":["California Institute of Technology,Jet Propulsion Laboratory,USA","Jet Propulsion Laboratory, California Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology,Jet Propulsion Laboratory,USA","institution_ids":["https://openalex.org/I1334627681"]},{"raw_affiliation_string":"Jet Propulsion Laboratory, California Institute of Technology, USA","institution_ids":["https://openalex.org/I1334627681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073445963","display_name":"Ryo Kurazume","orcid":"https://orcid.org/0000-0002-4219-7644"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Kurazume","raw_affiliation_strings":["Kyushu University,Faculty of Information Science and Electrical Engineering,Japan","Faculty of Information Science and Electrical Engineering, Kyushu University, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University,Faculty of Information Science and Electrical Engineering,Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Faculty of Information Science and Electrical Engineering, Kyushu University, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072856490"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":5.1303,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96816536,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"602","last_page":"607"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9728000164031982,"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/lidar","display_name":"Lidar","score":0.8199865818023682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7495614290237427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.741638720035553},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.719469428062439},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6890959739685059},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.657747745513916},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5757678747177124},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.573479413986206},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5403016805648804},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.510936439037323},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.4746844470500946},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.15934228897094727},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14409282803535461}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8199865818023682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7495614290237427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.741638720035553},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.719469428062439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6890959739685059},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.657747745513916},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5757678747177124},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.573479413986206},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5403016805648804},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.510936439037323},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.4746844470500946},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.15934228897094727},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14409282803535461},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","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/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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii52469.2022.9708899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii52469.2022.9708899","pdf_url":null,"source":{"id":"https://openalex.org/S4363605592","display_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W2016327746","https://openalex.org/W2022458825","https://openalex.org/W2056372885","https://openalex.org/W2126680226","https://openalex.org/W2133757308","https://openalex.org/W2502226073","https://openalex.org/W2510190030","https://openalex.org/W2895083861","https://openalex.org/W2963854019","https://openalex.org/W2964342398","https://openalex.org/W3043038163","https://openalex.org/W6628877408"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2783354812","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4390813131","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W2149037710","https://openalex.org/W2149281258","https://openalex.org/W2322340370"],"abstract_inverted_index":{"Gait":[0],"recognition,":[1,47,208],"which":[2,86,182,217],"is":[3,11,183],"a":[4,29,93,169,176,192],"biometric":[5,170],"identifier":[6],"for":[7,45,105,114,129],"individual":[8],"walking":[9,189],"patterns,":[10],"utilized":[12],"in":[13,51,67,107,187,221],"many":[14],"applications,":[15],"such":[16,122,145],"as":[17,112,146,168],"criminal":[18],"investigation":[19],"and":[20,32,48,73,117,156,194],"identification":[21],"systems,":[22],"because":[23],"it":[24],"can":[25,87],"be":[26,165],"applied":[27,166],"at":[28,95],"long":[30,153],"distance":[31,72,196],"requires":[33],"no":[34],"explicit":[35],"cooperation":[36],"of":[37,69,92,97,142,149,191,206,214,232],"the":[38,139,147,150,159,162,188,195,199,204,211,230,233],"subjects.":[39],"In":[40,79],"general,":[41],"cameras":[42,64],"are":[43,65,74,218],"used":[44,55,128],"gait":[46,177,207],"several":[49],"methods":[50],"previous":[52],"studies":[53],"have":[54],"depth":[56],"information":[57],"captured":[58],"by":[59],"RGB-D":[60,63],"cameras.":[61,223],"However,":[62,137],"limited":[66],"terms":[68],"their":[70],"measurement":[71,154],"difficult":[75],"to":[76,132,164,185],"access":[77],"outdoors.":[78],"recent":[80],"years,":[81],"real-time":[82],"multi-layer":[83],"3D":[84,89,123,143,200,215],"LiDAR,":[85,144,216],"obtain":[88],"range":[90],"images":[91],"target":[94],"ranges":[96],"over":[98],"100":[99],"m,":[100],"has":[101,125,161],"attracted":[102],"significant":[103],"attention":[104],"use":[106],"autonomous":[108],"mobile":[109],"robots,":[110],"serving":[111],"eyes":[113],"obstacles":[115],"detection":[116],"navigation.":[118],"Compared":[119],"with":[120],"cameras,":[121],"LiDAR":[124],"rarely":[126],"been":[127],"biometrics":[130],"owing":[131],"its":[133],"low":[134],"spatial":[135],"resolution.":[136],"considering":[138],"unique":[140,212],"characteristics":[141,213],"robustness":[148],"illumination":[151],"conditions,":[152],"distances,":[155],"wide-angle":[157],"scanning,":[158],"approach":[160],"potential":[163],"outdoors":[167],"identifier.":[171],"The":[172],"present":[173],"paper":[174],"describes":[175],"recognition":[178],"system,":[179],"called":[180],"2V-Gait,":[181],"robust":[184],"variations":[186],"direction":[190],"subject":[193],"measured":[197],"from":[198],"LiDAR.":[201],"To":[202],"improve":[203],"performance":[205],"we":[209],"leverage":[210],"not":[219],"included":[220],"regular":[222],"Extensive":[224],"experiments":[225],"on":[226],"our":[227],"dataset":[228],"show":[229],"effectiveness":[231],"proposed":[234],"approach.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
