{"id":"https://openalex.org/W2771242841","doi":"https://doi.org/10.1109/iccais.2017.8217597","title":"Linear multitarget integrated track splitting for multiple detection target tracking","display_name":"Linear multitarget integrated track splitting for multiple detection target tracking","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2771242841","doi":"https://doi.org/10.1109/iccais.2017.8217597","mag":"2771242841"},"language":"en","primary_location":{"id":"doi:10.1109/iccais.2017.8217597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2017.8217597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5101518518","display_name":"Yuan Huang","orcid":"https://orcid.org/0000-0002-2608-2003"},"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":true,"raw_author_name":"Yuan Huang","raw_affiliation_strings":["Department of Electronic Systems Engineering, Hanyang University, Ansan, Republic of Korea"],"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, Seongdong-gu, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Hanyang University, Seongdong-gu, Seoul, Korea","institution_ids":["https://openalex.org/I4575257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101518518"],"corresponding_institution_ids":["https://openalex.org/I4575257"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71750874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"85"},"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":0.9970999956130981,"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":0.9970999956130981,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9713000059127808,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9539999961853027,"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/tracking","display_name":"Tracking (education)","score":0.7215090990066528},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.704161524772644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6576311588287354},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6061831712722778},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5685187578201294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49964213371276855},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.41056424379348755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3470610976219177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1842963695526123},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09969031810760498}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7215090990066528},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.704161524772644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576311588287354},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6061831712722778},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5685187578201294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49964213371276855},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.41056424379348755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3470610976219177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1842963695526123},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09969031810760498},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"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.2017.8217597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais.2017.8217597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W576301840","https://openalex.org/W1531532259","https://openalex.org/W1965305830","https://openalex.org/W1991146923","https://openalex.org/W2010648563","https://openalex.org/W2020324514","https://openalex.org/W2045536223","https://openalex.org/W2077969890","https://openalex.org/W2097355360","https://openalex.org/W2141080731","https://openalex.org/W2156385851","https://openalex.org/W2157535676","https://openalex.org/W2165948751","https://openalex.org/W2265978784","https://openalex.org/W2762191896","https://openalex.org/W3145630061","https://openalex.org/W6661855014","https://openalex.org/W6674849818","https://openalex.org/W6683366892"],"related_works":["https://openalex.org/W2789518417","https://openalex.org/W4213217485","https://openalex.org/W4232403550","https://openalex.org/W2523883203","https://openalex.org/W2062298386","https://openalex.org/W2152866694","https://openalex.org/W853822470","https://openalex.org/W2376576537","https://openalex.org/W2171140859","https://openalex.org/W2380612839"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"multiple":[4,32],"detection":[5,33],"target":[6,34,57],"tracking.":[7],"We":[8],"propose":[9],"a":[10],"novel":[11],"algorithm":[12,26,89],"to":[13,29,104],"cover":[14],"the":[15,20,66,87,93,106],"many-to-one":[16],"measurements-to-track":[17],"association":[18,84],"where":[19,44],"linear":[21,91],"multitarget":[22],"integrated":[23],"track":[24,70,75],"splitting":[25],"is":[27,90],"extended":[28],"accommodate":[30],"for":[31,73],"tracking":[35],"using":[36],"measurement":[37,42,46,62,80,98],"partition":[38,63],"method.":[39,64],"After":[40],"measurement-selection,":[41],"cells,":[43],"one":[45,50],"cell":[47],"may":[48],"contain":[49],"or":[51],"many":[52],"measurements":[53],"treated":[54],"as":[55],"possible":[56],"detections,":[58],"are":[59,76,102],"generated":[60],"by":[61],"Then":[65],"data":[67,83],"associations":[68],"and":[69,97],"components":[71],"generation":[72],"each":[74],"based":[77],"on":[78],"these":[79],"cells.":[81,99],"The":[82],"complexity":[85],"of":[86,95],"proposed":[88],"in":[92],"number":[94],"tracks":[96],"Numerical":[100],"examples":[101],"given":[103],"illustrate":[105],"benefit.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
