{"id":"https://openalex.org/W2966059183","doi":"https://doi.org/10.1134/s0361768819040091","title":"Methods of Gait Recognition in Video","display_name":"Methods of Gait Recognition in Video","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2966059183","doi":"https://doi.org/10.1134/s0361768819040091","mag":"2966059183"},"language":"en","primary_location":{"id":"doi:10.1134/s0361768819040091","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s0361768819040091","pdf_url":null,"source":{"id":"https://openalex.org/S150218641","display_name":"Programming and Computer Software","issn_l":"0361-7688","issn":["0361-7688","1608-3261"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Programming and Computer Software","raw_type":"journal-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/A5023498253","display_name":"Anastasiia D. Sokolova","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"A. Sokolova","raw_affiliation_strings":["National Research University Higher School of Economics, 101000, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"National Research University Higher School of Economics, 101000, Moscow, Russia","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065787419","display_name":"Anton Konushin","orcid":"https://orcid.org/0000-0002-6152-0021"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]},{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"A. Konushin","raw_affiliation_strings":["Lomonosov Moscow State University, 119991, Moscow, Russia","National Research University Higher School of Economics, 101000, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University, 119991, Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"National Research University Higher School of Economics, 101000, Moscow, Russia","institution_ids":["https://openalex.org/I118501908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023498253"],"corresponding_institution_ids":["https://openalex.org/I118501908"],"apc_list":null,"apc_paid":null,"fwci":0.3912,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58848013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"45","issue":"4","first_page":"213","last_page":"220"},"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":0.991100013256073,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9272369146347046},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8304057121276855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558116316795349},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7330207824707031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.663741946220398},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6541427373886108},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6033394932746887},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.597411572933197},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4237106740474701},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36742764711380005}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9272369146347046},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8304057121276855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558116316795349},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7330207824707031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.663741946220398},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6541427373886108},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6033394932746887},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.597411572933197},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4237106740474701},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36742764711380005},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1134/s0361768819040091","is_oa":false,"landing_page_url":"https://doi.org/10.1134/s0361768819040091","pdf_url":null,"source":{"id":"https://openalex.org/S150218641","display_name":"Programming and Computer Software","issn_l":"0361-7688","issn":["0361-7688","1608-3261"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Programming and Computer Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1561782558","https://openalex.org/W1596285602","https://openalex.org/W1984031350","https://openalex.org/W2018331988","https://openalex.org/W2022458825","https://openalex.org/W2055121069","https://openalex.org/W2075060084","https://openalex.org/W2104335344","https://openalex.org/W2120861453","https://openalex.org/W2121647436","https://openalex.org/W2126680226","https://openalex.org/W2130265848","https://openalex.org/W2142194269","https://openalex.org/W2148643842","https://openalex.org/W2161969291","https://openalex.org/W2322772590","https://openalex.org/W2407362091","https://openalex.org/W2437735720","https://openalex.org/W2510190030","https://openalex.org/W2542803194","https://openalex.org/W2587215467","https://openalex.org/W2587763979","https://openalex.org/W2609963459","https://openalex.org/W2612587170","https://openalex.org/W2739325416","https://openalex.org/W2739430052","https://openalex.org/W2745659361","https://openalex.org/W2754666677","https://openalex.org/W2760814882","https://openalex.org/W2765158677","https://openalex.org/W2765190780","https://openalex.org/W2766297885","https://openalex.org/W2807461033","https://openalex.org/W2887159979","https://openalex.org/W2952186347","https://openalex.org/W2962681434","https://openalex.org/W2963589138","https://openalex.org/W3105827609","https://openalex.org/W6600020652","https://openalex.org/W6600424091","https://openalex.org/W6602163396"],"related_works":["https://openalex.org/W2149037710","https://openalex.org/W120096811","https://openalex.org/W2149281258","https://openalex.org/W3185413894","https://openalex.org/W2322340370","https://openalex.org/W2945912943","https://openalex.org/W4254098118","https://openalex.org/W2124490647","https://openalex.org/W2923160319","https://openalex.org/W1905194803"],"abstract_inverted_index":{"Human":[0],"gait":[1,174,217,248],"is":[2],"an":[3],"important":[4],"biometric":[5,87],"index":[6],"that":[7,121,152,242],"allows":[8],"to":[9,21,146],"identify":[10],"a":[11,14,39,67,77,159,171,179,211],"person":[12,40,160,172],"at":[13],"great":[15],"distance":[16],"without":[17],"direct":[18],"contact.":[19],"Due":[20],"these":[22],"qualities,":[23],"which":[24,102,195,199],"other":[25],"popular":[26,225],"identifiers":[27],"such":[28,131],"as":[29,132],"fingerprints":[30],"or":[31,139],"iris":[32],"do":[33,103],"not":[34,104,177],"have,":[35],"the":[36,42,61,147,155,167,188,192,233,240,244],"recognition":[37],"of":[38,44,63,69,113,128,150,158,169,213,216,232,235,247],"by":[41,74,135,173,187],"manner":[43,157],"walking":[45,156],"has":[46],"become":[47],"very":[48],"common":[49],"in":[50,76,125,165,191,203],"various":[51],"areas":[52],"where":[53],"video":[54,78,114,226],"surveillance":[55],"systems":[56],"can":[57,153],"be":[58],"used.":[59],"With":[60],"development":[62],"computer":[64,129],"vision":[65],"techniques,":[66],"variety":[68],"approaches":[70,81,120],"for":[71,229],"human":[72,133],"identification":[73,134,249],"movements":[75],"appear.":[79],"These":[80],"are":[82,185,197],"based":[83],"both":[84],"on":[85,194,223],"natural":[86],"characteristics":[88],"(human":[89],"skeleton,":[90],"silhouette,":[91],"and":[92,97,115,118,137,141,162,221,228],"their":[93,201,219],"change":[94],"during":[95],"walking)":[96],"abstract":[98],"features":[99],"trained":[100],"automatically":[101],"have":[105,178],"physical":[106],"justification.":[107],"Modern":[108],"methods":[109,184,215],"combine":[110],"classical":[111],"algorithms":[112],"image":[116],"analysis":[117,220],"new":[119],"show":[122],"excellent":[123],"results":[124],"related":[126],"tasks":[127],"vision,":[130],"face":[136],"appearance":[138],"action":[140],"gesture":[142],"recognition.":[143,236],"However,":[144],"due":[145],"large":[148],"number":[149],"conditions":[151,189],"affect":[154],"itself":[161],"its":[163],"representation":[164],"video,":[166],"problem":[168,234],"identifying":[170],"still":[175],"does":[176],"sufficiently":[180],"accurate":[181],"solution.":[182],"Many":[183],"overfitted":[186],"presented":[190],"databases":[193],"they":[196],"trained,":[198],"limits":[200],"applicability":[202],"real":[204],"life.":[205],"In":[206],"this":[207],"paper,":[208],"we":[209],"provide":[210],"survey":[212],"state-of-the-art":[214],"recognition,":[218],"comparison":[222],"several":[224],"collections":[227],"different":[230],"formulations":[231],"We":[237],"additionally":[238],"reveal":[239],"problems":[241],"prevent":[243],"final":[245],"solution":[246],"challenge.":[250]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
