{"id":"https://openalex.org/W2180186053","doi":"https://doi.org/10.1109/iccais.2015.7338703","title":"Iterative joint integrated particle filter data association for multitarget tracking in clutter","display_name":"Iterative joint integrated particle filter data association for multitarget tracking in clutter","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2180186053","doi":"https://doi.org/10.1109/iccais.2015.7338703","mag":"2180186053"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2015.7338703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2015.7338703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051477738","display_name":"Yi Fang Shi","orcid":"https://orcid.org/0009-0004-5460-5731"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yi Fang Shi","raw_affiliation_strings":["Department of Electronic Systems Engineering, Hanyang University, Ansan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Hanyang University, Ansan, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051520252","display_name":"Sa Yong Chong","orcid":null},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sa Yong Chong","raw_affiliation_strings":["Department of Electronic Systems Engineering, Hanyang University, Ansan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Hanyang University, Ansan, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028365881","display_name":"Taek Lyul Song","orcid":"https://orcid.org/0000-0003-1451-1787"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taek Lyul Song","raw_affiliation_strings":["Department of Electronic Systems Engineering, Hanyang University, Ansan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Hanyang University, Ansan, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"414","last_page":"419"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10032","display_name":"Marine and coastal ecosystems","score":0.9146999716758728,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8548471331596375},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7316929697990417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6784188747406006},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.6729375123977661},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6517757177352905},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5316413640975952},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.49595245718955994},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.47619450092315674},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.475273072719574},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4696069657802582},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.46566203236579895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.436087042093277},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.42134976387023926},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4146442115306854},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3858925402164459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3768983483314514},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3286435008049011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18391302227973938},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.10318171977996826},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09241223335266113}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8548471331596375},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7316929697990417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784188747406006},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.6729375123977661},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6517757177352905},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5316413640975952},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.49595245718955994},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.47619450092315674},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.475273072719574},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4696069657802582},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.46566203236579895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.436087042093277},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.42134976387023926},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4146442115306854},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3858925402164459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3768983483314514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3286435008049011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18391302227973938},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.10318171977996826},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09241223335266113},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/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/iccais.2015.7338703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2015.7338703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5400000214576721},{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W95648628","https://openalex.org/W576301840","https://openalex.org/W1513008779","https://openalex.org/W1568122762","https://openalex.org/W2001988192","https://openalex.org/W2011833091","https://openalex.org/W2013151737","https://openalex.org/W2049244691","https://openalex.org/W2062957951","https://openalex.org/W2127923214","https://openalex.org/W2139238196","https://openalex.org/W2146539768","https://openalex.org/W2154353836","https://openalex.org/W2154616225","https://openalex.org/W2165948751","https://openalex.org/W2265883602","https://openalex.org/W2332366021","https://openalex.org/W3107934168","https://openalex.org/W6633879058","https://openalex.org/W6693387349"],"related_works":["https://openalex.org/W2139793004","https://openalex.org/W2097396029","https://openalex.org/W4297796009","https://openalex.org/W2172267623","https://openalex.org/W1513162701","https://openalex.org/W1843307665","https://openalex.org/W1489621653","https://openalex.org/W2029659389","https://openalex.org/W1568122762","https://openalex.org/W621585789"],"abstract_inverted_index":{"In":[0],"tracking":[1,93,97],"closely":[2],"located":[3],"multiple":[4],"targets,":[5],"the":[6,29,47,61,70,74,90,101,106,122],"traditional":[7],"optimal":[8],"multitarget":[9,58,96],"data":[10,18,102],"association":[11,19,103],"approach":[12],"such":[13],"as":[14],"joint":[15],"integrated":[16],"probabilistic":[17],"(JIPDA)":[20],"faces":[21],"exponential":[22],"complexity":[23],"caused":[24],"by":[25,80,99,121],"combinatorial":[26],"increasing":[27],"of":[28,31,46,63,88,115],"number":[30,114],"possible":[32],"measurement-to-track":[33],"allocations,":[34],"which":[35,53],"severely":[36],"limits":[37],"its":[38],"applicability.":[39],"This":[40],"paper":[41],"presents":[42],"an":[43],"iterative":[44,81],"implementation":[45],"Joint":[48],"Integrated":[49],"Particle":[50],"Filter":[51],"(JIPF)":[52],"is":[54,86],"particle":[55],"filter":[56],"basedl":[57],"tracker":[59],"with":[60],"capability":[62],"false":[64],"track":[65],"discrimination":[66],"(FTD),":[67],"and":[68,76],"provides":[69],"trade":[71],"off":[72],"between":[73],"performance":[75],"computation":[77],"resources,":[78],"termed":[79],"JIPF":[82,98],"(iJIPF).":[83],"The":[84,117],"iJIPF":[85],"capable":[87],"approximating":[89],"single":[91],"target":[92],"IPF":[94],"to":[95,109],"traversing":[100],"tree":[104],"from":[105],"level":[107,111],"0":[108],"full":[110],"within":[112],"finite":[113],"iterations.":[116],"assertions":[118],"are":[119],"validated":[120],"simulations.":[123]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
