{"id":"https://openalex.org/W2151458210","doi":"https://doi.org/10.1109/tcsvt.2009.2020477","title":"On the Optimality of Motion-Based Particle Filtering","display_name":"On the Optimality of Motion-Based Particle Filtering","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W2151458210","doi":"https://doi.org/10.1109/tcsvt.2009.2020477","mag":"2151458210"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2009.2020477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2009.2020477","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5041401460","display_name":"Nidhal Bouaynaya","orcid":"https://orcid.org/0000-0002-8833-8414"},"institutions":[{"id":"https://openalex.org/I102401767","display_name":"University of Arkansas at Little Rock","ror":"https://ror.org/04fttyv97","country_code":"US","type":"education","lineage":["https://openalex.org/I102401767"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nidhal Bouaynaya","raw_affiliation_strings":["Department of Systems Engineering, University of Arkansas, Little Rock, AR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Engineering, University of Arkansas, Little Rock, AR, USA","institution_ids":["https://openalex.org/I102401767"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081723612","display_name":"Dan Schonfeld","orcid":"https://orcid.org/0000-0002-2772-4821"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Schonfeld","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Illinois, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Illinois, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5842,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96330234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"7","first_page":"1068","last_page":"1072"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9987000226974487,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/particle-filter","display_name":"Particle filter","score":0.7150998115539551},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6078095436096191},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.531100332736969},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5067558884620667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4904267489910126},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4380866587162018},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.43605372309684753},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41615766286849976},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4126574993133545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3739039897918701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35844364762306213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3070424199104309},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.1572732925415039},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.14236411452293396},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1328195333480835}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7150998115539551},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6078095436096191},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.531100332736969},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5067558884620667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4904267489910126},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4380866587162018},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.43605372309684753},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41615766286849976},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4126574993133545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3739039897918701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35844364762306213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3070424199104309},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.1572732925415039},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.14236411452293396},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1328195333480835},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2009.2020477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2009.2020477","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1648602279","https://openalex.org/W1910898529","https://openalex.org/W1990991291","https://openalex.org/W2015022227","https://openalex.org/W2062014385","https://openalex.org/W2085001753","https://openalex.org/W2094665513","https://openalex.org/W2103469462","https://openalex.org/W2105934661","https://openalex.org/W2110744759","https://openalex.org/W2154496665","https://openalex.org/W2161406034","https://openalex.org/W4255096758","https://openalex.org/W6640096618","https://openalex.org/W6648152045"],"related_works":["https://openalex.org/W1887999017","https://openalex.org/W1497101000","https://openalex.org/W2074686240","https://openalex.org/W1970672735","https://openalex.org/W2013820100","https://openalex.org/W2152007080","https://openalex.org/W2102101492","https://openalex.org/W2747715696","https://openalex.org/W2375191981","https://openalex.org/W1955388589"],"abstract_inverted_index":{"Particle":[0],"filters":[1,71,84,105,120],"have":[2],"revolutionized":[3],"object":[4],"tracking":[5],"in":[6,55,222],"video":[7],"sequences.":[8],"The":[9],"conventional":[10],"particle":[11,70,83,104,119,184,216],"filter,":[12,17,221],"also":[13],"called":[14],"the":[15,19,24,29,37,45,61,67,74,79,99,115,130,137,140,146,149,170,189,196,210,214,219,225,235],"CONDENSATION":[16,132,220],"uses":[18],"state":[20],"transition":[21,38],"distribution":[22,39,166],"as":[23,174,186],"proposal":[25,76,142,194,198],"distribution,":[26],"from":[27,163],"which":[28,144],"particles":[30,51],"are":[31,231],"drawn":[32],"at":[33],"each":[34],"iteration.":[35],"However,":[36,151],"does":[40,154],"not":[41,107,155],"take":[42],"into":[43],"account":[44],"current":[46],"observations,":[47],"and":[48,121,181,195],"thus":[49],"many":[50],"can":[52],"be":[53,86],"wasted":[54],"low":[56],"likelihood":[57],"regions.":[58],"One":[59],"of":[60,69,102,117,126,139,148,224],"most":[62],"popular":[63],"methods":[64],"to":[65,233],"improve":[66],"performance":[68,101,116,227],"relied":[72],"on":[73,88,136,209],"motion-based":[75,82,103,118,215],"density.":[77],"Although":[78],"motivation":[80],"for":[81,98],"could":[85],"explained":[87],"an":[89,123,157],"intuitive":[90],"level,":[91],"up":[92],"until":[93],"now":[94],"a":[95,175,183],"mathematical":[96],"rationale":[97],"improved":[100],"has":[106],"been":[108],"presented.":[109],"In":[110],"this":[111,152,164],"letter,":[112],"we":[113],"investigate":[114],"provide":[122],"analytical":[124,158],"justification":[125],"their":[127],"superiority":[128],"over":[129],"classical":[131],"filter.":[133],"We":[134,168,202],"rely":[135],"characterization":[138],"optimal":[141,165,197],"density,":[143],"minimizes":[145],"variance":[147],"particles'weights.":[150],"density":[153,179],"admit":[156],"expression,":[159],"making":[160],"direct":[161],"sampling":[162],"impossible.":[167],"use":[169],"Kullback-Leibler":[171],"(KL)":[172],"divergence":[173,191],"similarity":[176],"measure":[177],"between":[178,192],"functions":[180],"denote":[182],"filter":[185,217],"superior":[187],"if":[188],"KL":[190,226],"its":[193],"function":[199],"is":[200],"lower.":[201],"subsequently":[203],"prove":[204],"that":[205],"under":[206],"mild":[207],"conditions":[208],"estimated":[211],"motion":[212],"vector,":[213],"outperforms":[218],"terms":[223],"measure.":[228],"Simulation":[229],"results":[230],"presented":[232],"support":[234],"theoretical":[236],"analysis.":[237]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
