{"id":"https://openalex.org/W1504141636","doi":"https://doi.org/10.1002/9780470050118.ecse645","title":"Statistical Methods for Target Tracking","display_name":"Statistical Methods for Target Tracking","publication_year":2009,"publication_date":"2009-03-09","ids":{"openalex":"https://openalex.org/W1504141636","doi":"https://doi.org/10.1002/9780470050118.ecse645","mag":"1504141636"},"language":"en","primary_location":{"id":"doi:10.1002/9780470050118.ecse645","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9780470050118.ecse645","pdf_url":null,"source":{"id":"https://openalex.org/S4306534807","display_name":"Wiley Encyclopedia of Computer Science and Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wiley Encyclopedia of Computer Science and Engineering","raw_type":"other"},"type":"reference-entry","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/A5083636287","display_name":"Simon Maskell","orcid":"https://orcid.org/0000-0003-1917-2913"},"institutions":[{"id":"https://openalex.org/I173869447","display_name":"Qinetiq (United Kingdom)","ror":"https://ror.org/02f60yb64","country_code":"GB","type":"company","lineage":["https://openalex.org/I173869447"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Simon Maskell","raw_affiliation_strings":["Qineti Q, Worcester, United Kingdom","Qineti Q Worcester United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qineti Q, Worcester, United Kingdom","institution_ids":["https://openalex.org/I173869447"]},{"raw_affiliation_string":"Qineti Q Worcester United Kingdom","institution_ids":["https://openalex.org/I173869447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083636287"],"corresponding_institution_ids":["https://openalex.org/I173869447"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2820","last_page":"2829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9994999766349792,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9832000136375427,"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":0.766534686088562},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6956292986869812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516233682632446},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5786683559417725},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5630966424942017},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5408189296722412},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5080859661102295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47706687450408936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46162110567092896},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.42141997814178467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.25700098276138306}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.766534686088562},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6956292986869812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516233682632446},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5786683559417725},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5630966424942017},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5408189296722412},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5080859661102295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47706687450408936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46162110567092896},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.42141997814178467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25700098276138306},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/9780470050118.ecse645","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9780470050118.ecse645","pdf_url":null,"source":{"id":"https://openalex.org/S4306534807","display_name":"Wiley Encyclopedia of Computer Science and Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wiley Encyclopedia of Computer Science and Engineering","raw_type":"other"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1501075844","https://openalex.org/W1981908713","https://openalex.org/W2011833091","https://openalex.org/W2036323349","https://openalex.org/W2063695849","https://openalex.org/W2103204412","https://openalex.org/W2105934661","https://openalex.org/W2114558202","https://openalex.org/W2117397690","https://openalex.org/W2119539043","https://openalex.org/W2126736494","https://openalex.org/W2127923214","https://openalex.org/W2132103241","https://openalex.org/W2137688837","https://openalex.org/W2141461755","https://openalex.org/W2154616225","https://openalex.org/W2160337655","https://openalex.org/W2161435744","https://openalex.org/W2571050459"],"related_works":["https://openalex.org/W2535707089","https://openalex.org/W2364245576","https://openalex.org/W1802141407","https://openalex.org/W3041488438","https://openalex.org/W3133015569","https://openalex.org/W1497101000","https://openalex.org/W2013820100","https://openalex.org/W2150832435","https://openalex.org/W2978289141","https://openalex.org/W2070010727"],"abstract_inverted_index":{"Abstract":[0],"Tracking":[1],"is":[2,25,73,100,147,154],"the":[3,12,16,37,40,43,46,49,54,57,66,92,101,106,120,132,142,150],"algorithmic":[4,76],"process":[5],"of":[6,8,11,15,23,39,53,78,134],"updating":[7],"a":[9,20,69],"perception":[10],"time\u2010evolving":[13],"state":[14,41,47,55],"stochastic":[17],"world":[18],"as":[19],"noisy":[21],"stream":[22,58],"data":[24],"received.":[26],"To":[27],"do":[28],"this,":[29],"one":[30],"needs":[31],"to":[32,82,130],"define":[33,65],"statistical":[34],"models":[35,93,107],"for":[36],"evolution":[38],"and":[42,48,56,115,123,137],"relationship":[44],"between":[45],"data.":[50],"The":[51],"definition":[52],"are":[59],"problem":[60,67,85],"specific.":[61],"Indeed,":[62],"these":[63],"definitions":[64],"that":[68],"specific":[70],"tracking":[71,139,144],"algorithm":[72],"tackling.":[74],"An":[75,98],"implementation":[77],"an":[79],"exact":[80,114],"solution":[81],"this":[83],"mathematical":[84,96],"can":[86],"be":[87],"defined":[88],"in":[89,149],"cases":[90],"when":[91],"have":[94],"certain":[95],"properties.":[97],"example":[99],"Kalman":[102,121],"filter.":[103,125],"However,":[104],"often":[105],"require":[108],"approximation:":[109],"This":[110],"article":[111],"reviews":[112],"both":[113],"approximate":[116],"solutions":[117],"based":[118],"on":[119,129],"filter":[122],"particle":[124],"It":[126],"then":[127],"goes":[128],"describe":[131],"use":[133],"multihypothesis":[135],"techniques":[136],"multitarget":[138],"algorithms.":[140],"Finally,":[141],"mean\u2010shift":[143],"paradigm,":[145],"which":[146],"popular":[148],"computer":[151],"vision":[152],"literature,":[153],"discussed.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}