{"id":"https://openalex.org/W2517795723","doi":"https://doi.org/10.1109/tci.2016.2600480","title":"Vehicle Tracking in Video using Fractional Feedback Kalman Filter","display_name":"Vehicle Tracking in Video using Fractional Feedback Kalman Filter","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2517795723","doi":"https://doi.org/10.1109/tci.2016.2600480","mag":"2517795723"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2016.2600480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2016.2600480","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Imaging","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/A5100604986","display_name":"Harpreet Kaur","orcid":"https://orcid.org/0000-0001-9772-175X"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harpreet Kaur","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Ropar, Rupnagar, India"],"raw_orcid":"https://orcid.org/0000-0001-9772-175X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Ropar, Rupnagar, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112079294","display_name":"J. S. Sahambi","orcid":null},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J.S. Sahambi","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Ropar, Rupnagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Ropar, Rupnagar, India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I119241673"],"apc_list":null,"apc_paid":null,"fwci":0.9944,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.83118884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9873999953269958,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9248999953269958,"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":0.8492885828018188},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.8474804162979126},{"id":"https://openalex.org/keywords/alpha-beta-filter","display_name":"Alpha beta filter","score":0.7648550868034363},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.756821870803833},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.7369970083236694},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.699480414390564},{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.595413088798523},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5863634943962097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49828171730041504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3373866677284241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2348882555961609},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.06876552104949951}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8492885828018188},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.8474804162979126},{"id":"https://openalex.org/C11588082","wikidata":"https://www.wikidata.org/wiki/Q4735154","display_name":"Alpha beta filter","level":5,"score":0.7648550868034363},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.756821870803833},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.7369970083236694},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.699480414390564},{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.595413088798523},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5863634943962097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49828171730041504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3373866677284241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2348882555961609},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.06876552104949951},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2016.2600480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2016.2600480","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321672","display_name":"Else Kr\u00f6ner-Fresenius-Stiftung","ror":"https://ror.org/03zcxha54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1520710862","https://openalex.org/W1520813427","https://openalex.org/W1598166539","https://openalex.org/W1829543475","https://openalex.org/W1963688148","https://openalex.org/W1988586973","https://openalex.org/W1996567593","https://openalex.org/W1999726465","https://openalex.org/W2018962199","https://openalex.org/W2021632315","https://openalex.org/W2037804101","https://openalex.org/W2046169298","https://openalex.org/W2046568257","https://openalex.org/W2055794543","https://openalex.org/W2063576897","https://openalex.org/W2068345729","https://openalex.org/W2071984725","https://openalex.org/W2083364189","https://openalex.org/W2089757904","https://openalex.org/W2094819946","https://openalex.org/W2098687903","https://openalex.org/W2105934661","https://openalex.org/W2107815783","https://openalex.org/W2120342091","https://openalex.org/W2120903335","https://openalex.org/W2127167549","https://openalex.org/W2130222581","https://openalex.org/W2131458171","https://openalex.org/W2164749881","https://openalex.org/W2166663528","https://openalex.org/W2465486821","https://openalex.org/W2467407075","https://openalex.org/W2486280681","https://openalex.org/W4285719527","https://openalex.org/W6631209646","https://openalex.org/W6635659702","https://openalex.org/W6638666805","https://openalex.org/W6674678337"],"related_works":["https://openalex.org/W3036780875","https://openalex.org/W2145874287","https://openalex.org/W3190919334","https://openalex.org/W2150837402","https://openalex.org/W3042105824","https://openalex.org/W2363917672","https://openalex.org/W4206024512","https://openalex.org/W2483158495","https://openalex.org/W4221126147","https://openalex.org/W3147354701"],"abstract_inverted_index":{"Object":[0],"tracking":[1,12,18],"is":[2,26,78,94,126,150,172],"a":[3,69,82],"challenging":[4],"and":[5,28,42,111,138],"important":[6],"area":[7],"of":[8,17,56,73,101,113,122,130],"research.":[9],"The":[10,90,120,156],"object":[11,22,37,58],"system":[13,43],"must":[14],"be":[15],"capable":[16],"abrupt":[19],"variations":[20],"in":[21,36],"state.":[23],"Kalman":[24,45,62,75,88,92,104,115,133,136,140,181],"filter":[25,46,63,116],"fundamental":[27],"widely":[29],"used":[30,151],"as":[31,152],"an":[32],"optimal":[33],"state":[34],"estimator":[35],"tracking.":[38],"With":[39],"known":[40],"noise":[41],"parameters,":[44],"tends":[47],"to":[48],"stabilize":[49],"the":[50,57,74,87,98,102,109,114,123,131,145,153,178],"gain.":[51,89],"However,":[52],"during":[53],"sudden":[54],"transitions":[55],"tracked,":[59],"constant":[60],"gain":[61,72,93],"may":[64],"diverge.":[65],"This":[66],"paper":[67],"proposes":[68],"modified":[70,91,180],"steady-state":[71],"filter,":[76,134,137],"which":[77],"achieved":[79],"by":[80,96,176],"introducing":[81],"fractional":[83],"feedback":[84],"loop":[85],"across":[86],"estimated":[95],"minimizing":[97],"cost":[99],"function":[100],"proposed":[103,124,157,179],"filter.":[105,141,182],"Results":[106],"show":[107,169],"that":[108,129,170],"accuracy":[110],"robustness":[112],"are":[117],"significantly":[118],"improved.":[119],"performance":[121,154],"method":[125,158],"compared":[127],"with":[128],"standard":[132],"fractional-order":[135],"unscented":[139],"In":[142],"this":[143],"work,":[144],"root":[146],"mean":[147],"square":[148],"error":[149],"metric.":[155],"has":[159],"been":[160],"tested":[161],"for":[162],"different":[163],"datasets,":[164],"including":[165],"traffic":[166],"videos.":[167],"Experiments":[168],"RMSE":[171],"improved":[173],"upto":[174],"$17\\%$":[175],"using":[177]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}