{"id":"https://openalex.org/W2922071115","doi":"https://doi.org/10.1117/12.2522932","title":"Person reidentification on video surveillance data","display_name":"Person reidentification on video surveillance data","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2922071115","doi":"https://doi.org/10.1117/12.2522932","mag":"2922071115"},"language":"en","primary_location":{"id":"doi:10.1117/12.2522932","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2522932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","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/A5086303779","display_name":"Andrey Kuznetsov","orcid":"https://orcid.org/0000-0001-6446-8663"},"institutions":[{"id":"https://openalex.org/I3124489027","display_name":"Samara National Research University","ror":"https://ror.org/05ggagb37","country_code":"RU","type":"education","lineage":["https://openalex.org/I3124489027"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Andrey Kuznetsov","raw_affiliation_strings":["Samara National Research Univ. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Samara National Research Univ. (Russian Federation)","institution_ids":["https://openalex.org/I3124489027"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086303779"],"corresponding_institution_ids":["https://openalex.org/I3124489027"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01594147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":null,"first_page":"49","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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/T11448","display_name":"Face recognition and analysis","score":0.9506999850273132,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9327999949455261,"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/computer-science","display_name":"Computer science","score":0.7172906398773193},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6173366904258728},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6170886158943176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6121638417243958},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5219273567199707},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46418800950050354},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4261091351509094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39412808418273926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3938261568546295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3718458414077759},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3549899458885193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172906398773193},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6173366904258728},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6170886158943176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6121638417243958},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5219273567199707},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46418800950050354},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4261091351509094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39412808418273926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3938261568546295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3718458414077759},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3549899458885193}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2522932","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2522932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2013978178","https://openalex.org/W2235776288","https://openalex.org/W6683411478","https://openalex.org/W6689656924"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W148178222","https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2398764543","https://openalex.org/W4298130764","https://openalex.org/W2104657898","https://openalex.org/W1948992892"],"abstract_inverted_index":{"Person":[0],"reidentification":[1,52,63,121],"is":[2,23,47,76],"a":[3,10,80,95],"very":[4],"challenging":[5],"problem":[6,42],"nowadays":[7],"because":[8],"of":[9,13,36,39,43,50],"big":[11],"amount":[12],"video":[14],"surveillance":[15],"systems":[16,22],"used.":[17,138],"The":[18],"data":[19],"from":[20],"such":[21],"processed":[24],"to":[25,78,91],"analyze":[26],"events":[27],"or":[28],"emergency":[29],"situations,":[30],"find":[31],"specific":[32],"people,":[33],"etc.":[34],"One":[35],"the":[37,41,48,71,113],"ways":[38],"solving":[40],"an":[44,59,83],"area":[45],"security":[46],"development":[49],"person":[51,62,81,96,107,120],"algorithms.":[53],"In":[54],"this":[55],"paper":[56],"we":[57,86],"propose":[58],"algorithm":[60,90],"for":[61,106,119],"based":[64],"on":[65,82,94],"RGB":[66],"histogram":[67],"features":[68],"calculation.":[69],"On":[70],"first":[72],"stage":[73],"HOG":[74],"descriptor":[75],"selected":[77],"detect":[79],"image.":[84,97],"Then":[85],"used":[87,105,118],"k-means++":[88],"clustering":[89],"remove":[92],"background":[93],"Finally,":[98],"Bayes":[99],"and":[100],"SVM":[101],"classification":[102],"methods":[103],"were":[104],"reidentification.":[108],"Experimental":[109],"results":[110],"showed":[111],"that":[112],"proposed":[114],"solution":[115],"can":[116],"be":[117],"with":[122],"high":[123],"precision":[124],"(not":[125],"less":[126],"than":[127],"82%).":[128],"To":[129],"carry":[130],"out":[131],"research":[132],"3D":[133],"People":[134],"Surveillance":[135],"Dataset":[136],"was":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
