{"id":"https://openalex.org/W3037463988","doi":"https://doi.org/10.1109/dessert50317.2020.9125043","title":"Identification of a Person by Gait on the Basis of Wavelet Technology","display_name":"Identification of a Person by Gait on the Basis of Wavelet Technology","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3037463988","doi":"https://doi.org/10.1109/dessert50317.2020.9125043","mag":"3037463988"},"language":"en","primary_location":{"id":"doi:10.1109/dessert50317.2020.9125043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dessert50317.2020.9125043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT)","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/A5026724046","display_name":"Mykhailo Semenovych Babii","orcid":null},"institutions":[{"id":"https://openalex.org/I25822123","display_name":"Sumy State University","ror":"https://ror.org/01w60n236","country_code":"UA","type":"education","lineage":["https://openalex.org/I25822123"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Mykhailo Babii","raw_affiliation_strings":["Department of Computer Science, Sumy State University, Sumy, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sumy State University, Sumy, Ukraine","institution_ids":["https://openalex.org/I25822123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076399135","display_name":"Andrii Dikhtiarov","orcid":null},"institutions":[{"id":"https://openalex.org/I25822123","display_name":"Sumy State University","ror":"https://ror.org/01w60n236","country_code":"UA","type":"education","lineage":["https://openalex.org/I25822123"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Andrii Dikhtiarov","raw_affiliation_strings":["Department of Computer Science, Sumy State University, Sumy, Ukraine"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sumy State University, Sumy, Ukraine","institution_ids":["https://openalex.org/I25822123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026724046"],"corresponding_institution_ids":["https://openalex.org/I25822123"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06308592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"300"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9581999778747559,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9304999709129333,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.9677244424819946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7921491265296936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.775713324546814},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6928159594535828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505066752433777},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5452126264572144},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5417175889015198},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.4650142788887024},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.4435182809829712},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4247947931289673},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41558682918548584},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41510167717933655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4133356213569641},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3276093006134033},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2866581082344055},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.23411822319030762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18325892090797424}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.9677244424819946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7921491265296936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.775713324546814},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6928159594535828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505066752433777},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5452126264572144},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5417175889015198},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.4650142788887024},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.4435182809829712},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4247947931289673},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41558682918548584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41510167717933655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4133356213569641},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3276093006134033},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2866581082344055},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.23411822319030762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18325892090797424},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dessert50317.2020.9125043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dessert50317.2020.9125043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th International Conference on Dependable Systems, Services and Technologies (DESSERT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W62742852","https://openalex.org/W161007559","https://openalex.org/W1508266955","https://openalex.org/W1516569588","https://openalex.org/W2013796631","https://openalex.org/W2025085710","https://openalex.org/W2026800967","https://openalex.org/W2028281835","https://openalex.org/W2104381957","https://openalex.org/W2151458682","https://openalex.org/W2158610774","https://openalex.org/W2167270215","https://openalex.org/W2275720868","https://openalex.org/W2322772590","https://openalex.org/W2341349835","https://openalex.org/W2521857640","https://openalex.org/W2592878160","https://openalex.org/W2609252852"],"related_works":["https://openalex.org/W120096811","https://openalex.org/W2945912943","https://openalex.org/W4254098118","https://openalex.org/W2124490647","https://openalex.org/W2923160319","https://openalex.org/W2587763979","https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W2148547327","https://openalex.org/W4226236273"],"abstract_inverted_index":{"A":[0,139],"new":[1],"method":[2,130],"of":[3,10,20,35,57,59,65,78,98,105,116,119],"gait":[4,100,123,159],"recognition":[5,163],"based":[6],"on":[7,154],"a":[8,13,21,41,76,84,93],"sequence":[9,15],"frames":[11],"from":[12,30,54,156],"video":[14],"is":[16,24,38,71,87,90,131],"proposed.":[17],"The":[18,33,96],"silhouette":[19,37,61],"moving":[22],"figure":[23],"extracted":[25],"by":[26,137],"subtracting":[27],"the":[28,31,36,45,52,55,60,63,66,69,72,99,103,110,114,127,135,147,152,157],"background":[29],"image.":[32,95],"contour":[34],"considered":[39],"as":[40],"one-dimensional":[42,79],"signal":[43,86],"in":[44,102,113],"polar":[46],"coordinate":[47],"system.":[48],"Signal":[49],"values":[50],"are":[51],"distances":[53],"center":[56],"gravity":[58],"to":[62,133],"points":[64],"contour,":[67],"and":[68],"argument":[70],"angular":[73],"coordinate.":[74],"From":[75],"set":[77],"signals":[80],"for":[81,122,143],"successive":[82],"frames,":[83],"two-dimensional":[85],"formed,":[88],"which":[89],"transformed":[91],"into":[92],"grayscale":[94],"representation":[97],"fragment":[101],"form":[104],"an":[106],"image":[107],"allows":[108],"using":[109,146],"latest":[111],"research":[112],"field":[115],"intellectual":[117],"processing":[118],"graphic":[120],"data":[121],"analysis.In":[124],"this":[125],"paper,":[126],"Gabor":[128],"wavelet":[129],"used":[132],"identify":[134],"person":[136],"gait.":[138],"program":[140,153],"was":[141],"developed":[142],"Visual":[144],"Studio":[145],"OpenCV":[148],"graphics":[149],"library.":[150],"Testing":[151],"samples":[155],"CASIA":[158],"database":[160],"showed":[161],"high":[162],"accuracy.":[164]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}