{"id":"https://openalex.org/W3116758735","doi":"https://doi.org/10.1109/cce50788.2020.9299345","title":"Visual Object Tracking with Colored Measurement Noise using Kalman and UFIR Filters","display_name":"Visual Object Tracking with Colored Measurement Noise using Kalman and UFIR Filters","publication_year":2020,"publication_date":"2020-11-11","ids":{"openalex":"https://openalex.org/W3116758735","doi":"https://doi.org/10.1109/cce50788.2020.9299345","mag":"3116758735"},"language":"en","primary_location":{"id":"doi:10.1109/cce50788.2020.9299345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cce50788.2020.9299345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","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/A5058205797","display_name":"Yuriy S. Shmaliy","orcid":"https://orcid.org/0000-0001-6848-453X"},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yuriy S. Shmaliy","raw_affiliation_strings":["Electronics Engineering Dept., Universidad de Guanajuato, Salamanca, Gto., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Engineering Dept., Universidad de Guanajuato, Salamanca, Gto., Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058215526","display_name":"Jos\u00e9 A. Andrade-Lucio","orcid":"https://orcid.org/0000-0003-1362-2231"},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jose Andrade-Lucio","raw_affiliation_strings":["Electronics Engineering Dept., Universidad de Guanajuato, Salamanca, Gto., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Engineering Dept., Universidad de Guanajuato, Salamanca, Gto., Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053794768","display_name":"Eli G. Pale-Ram\u00f3n","orcid":"https://orcid.org/0009-0000-1075-0540"},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Eli G. Pale-Ramon","raw_affiliation_strings":["Electronics Engineering Dept., Universidad de Guanajuato, Salamanca, Gto., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Engineering Dept., Universidad de Guanajuato, Salamanca, Gto., Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003489330","display_name":"Jorge A. Ortega-Contreras","orcid":"https://orcid.org/0000-0001-6834-3163"},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jorge Ortega-Contreras","raw_affiliation_strings":["Electronics Engineering Dept., Universidad de Guanajuato, Salamanca, Gto., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Engineering Dept., Universidad de Guanajuato, Salamanca, Gto., Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056429001","display_name":"Luis J. Morales-Mendoza","orcid":"https://orcid.org/0000-0002-8580-2752"},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis J. Morales-Mendoza","raw_affiliation_strings":["Electronics Engineering Dept., Universidad Veracruzana, Poza Rica, Ver., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Engineering Dept., Universidad Veracruzana, Poza Rica, Ver., Mexico","institution_ids":["https://openalex.org/I147280213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003069350","display_name":"Mario Gonz\u00e1lez-Lee","orcid":"https://orcid.org/0000-0002-0228-5180"},"institutions":[{"id":"https://openalex.org/I147280213","display_name":"Universidad Veracruzana","ror":"https://ror.org/03efxn362","country_code":"MX","type":"education","lineage":["https://openalex.org/I147280213"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mario Gonzalez-Lee","raw_affiliation_strings":["Electronics Engineering Dept., Universidad Veracruzana, Poza Rica, Ver., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Engineering Dept., Universidad Veracruzana, Poza Rica, Ver., Mexico","institution_ids":["https://openalex.org/I147280213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1958,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52382922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9878000020980835,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9835000038146973,"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/kalman-filter","display_name":"Kalman filter","score":0.6695699095726013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398802399635315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6296505331993103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5565026998519897},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.47388026118278503},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.471427857875824},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.4622165560722351},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.37442004680633545},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3502284288406372},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15516334772109985}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6695699095726013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398802399635315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6296505331993103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565026998519897},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.47388026118278503},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.471427857875824},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.4622165560722351},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.37442004680633545},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3502284288406372},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15516334772109985}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cce50788.2020.9299345","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cce50788.2020.9299345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","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":41,"referenced_works":["https://openalex.org/W304861154","https://openalex.org/W1531218787","https://openalex.org/W1531532259","https://openalex.org/W1590346087","https://openalex.org/W1915785815","https://openalex.org/W1972619391","https://openalex.org/W1981518010","https://openalex.org/W1982277911","https://openalex.org/W1995903777","https://openalex.org/W1998914394","https://openalex.org/W2000098639","https://openalex.org/W2003641974","https://openalex.org/W2052684110","https://openalex.org/W2070845199","https://openalex.org/W2084002884","https://openalex.org/W2089961441","https://openalex.org/W2097576710","https://openalex.org/W2102047877","https://openalex.org/W2107307590","https://openalex.org/W2116117529","https://openalex.org/W2139251171","https://openalex.org/W2150683269","https://openalex.org/W2171612575","https://openalex.org/W2184142057","https://openalex.org/W2238582461","https://openalex.org/W2523434872","https://openalex.org/W2581563969","https://openalex.org/W2605173812","https://openalex.org/W2742001314","https://openalex.org/W2746291398","https://openalex.org/W2755153992","https://openalex.org/W2790374560","https://openalex.org/W2791884886","https://openalex.org/W2801159637","https://openalex.org/W2802121951","https://openalex.org/W2911671670","https://openalex.org/W2981245529","https://openalex.org/W3022833386","https://openalex.org/W4237444302","https://openalex.org/W4256197952","https://openalex.org/W6742163075"],"related_works":["https://openalex.org/W1993122958","https://openalex.org/W1580685205","https://openalex.org/W2760382975","https://openalex.org/W2349716249","https://openalex.org/W2363246369","https://openalex.org/W1463864201","https://openalex.org/W3191856393","https://openalex.org/W2120941928","https://openalex.org/W4206770590","https://openalex.org/W1539644400"],"abstract_inverted_index":{"Visual":[0],"object":[1,20],"tracking":[2],"is":[3,68],"commonly":[4],"accompanied":[5],"with":[6,83,89],"large":[7],"variations":[8,32,81,87],"in":[9],"the":[10,19,41,51,71,78,97,107],"image":[11],"frame":[12,24,80],"size":[13],"and":[14,22,44,55,59,64,85],"position,":[15],"as":[16,33],"caused":[17],"by":[18],"dynamics":[21],"low":[23],"rate.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29],"treat":[30],"such":[31],"a":[34,103],"Gauss-Markov":[35],"colored":[36],"measurement":[37,57],"noise":[38],"(CMN),":[39],"modify":[40],"Kalman":[42],"filter":[43,49],"unbiased":[45],"finite":[46],"impulse":[47],"response":[48],"using":[50],"backward":[52],"Euler":[53],"method":[54],"employing":[56],"differencing,":[58],"apply":[60],"to":[61],"some":[62],"simulated":[63],"benchmark":[65,99],"data.":[66],"It":[67],"shown":[69],"that":[70],"modified":[72,108],"filters":[73],"can":[74],"suppress":[75],"efficiently":[76],"both":[77],"slow":[79],"associated":[82,88],"CMN":[84],"fast":[86],"white":[90],"noise.":[91],"Extensive":[92],"experimental":[93],"investigations":[94],"conducted":[95],"for":[96],"\"Car4\"":[98],"database":[100],"has":[101],"demonstrated":[102],"high":[104],"efficiency":[105],"of":[106],"algorithms.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}