{"id":"https://openalex.org/W4362605332","doi":"https://doi.org/10.1109/icacs55311.2023.10089762","title":"Track Coalescence Avoidance in Multi-target Tracking","display_name":"Track Coalescence Avoidance in Multi-target Tracking","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4362605332","doi":"https://doi.org/10.1109/icacs55311.2023.10089762"},"language":"en","primary_location":{"id":"doi:10.1109/icacs55311.2023.10089762","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icacs55311.2023.10089762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Advancements in Computational Sciences (ICACS)","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/A5072292929","display_name":"Sufyan Ali Memon","orcid":"https://orcid.org/0000-0001-5592-9990"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sufyan Ali Memon","raw_affiliation_strings":["Sejong University,dept. Defense Systems Engineering,Seoul,Republic of Korea","dept. Defense Systems Engineering, Sejong University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sejong University,dept. Defense Systems Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"dept. Defense Systems Engineering, Sejong University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012736597","display_name":"Wan-Gu Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wan-Gu Kim","raw_affiliation_strings":["Sejong University,dept. Defense Systems Engineering,Seoul,Republic of Korea","dept. Defense Systems Engineering, Sejong University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sejong University,dept. Defense Systems Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I28777354"]},{"raw_affiliation_string":"dept. Defense Systems Engineering, Sejong University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012960007","display_name":"Tanveer Yazdan","orcid":"https://orcid.org/0000-0001-9191-928X"},"institutions":[{"id":"https://openalex.org/I142204992","display_name":"University of Lahore","ror":"https://ror.org/051jrjw38","country_code":"PK","type":"education","lineage":["https://openalex.org/I142204992"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Tanveer Yazdan","raw_affiliation_strings":["The University of Lahore,dept. Electrical Engineering,Lahore,Pakistan","dept. Electrical Engineering, The University of Lahore, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"The University of Lahore,dept. Electrical Engineering,Lahore,Pakistan","institution_ids":["https://openalex.org/I142204992"]},{"raw_affiliation_string":"dept. Electrical Engineering, The University of Lahore, Lahore, Pakistan","institution_ids":["https://openalex.org/I142204992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072292929"],"corresponding_institution_ids":["https://openalex.org/I28777354"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02919302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9961000084877014,"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":0.9961000084877014,"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":0.9898999929428101,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.8056336641311646},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7983782291412354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7587629556655884},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.6849517822265625},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.609859824180603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5727881193161011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5127383470535278},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46587252616882324},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4596061706542969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4239046573638916},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.10545814037322998}],"concepts":[{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.8056336641311646},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7983782291412354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587629556655884},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.6849517822265625},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.609859824180603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5727881193161011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5127383470535278},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46587252616882324},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4596061706542969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4239046573638916},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.10545814037322998},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"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/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:10.1109/icacs55311.2023.10089762","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icacs55311.2023.10089762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Advancements in Computational Sciences (ICACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W576301840","https://openalex.org/W1552746160","https://openalex.org/W2003468827","https://openalex.org/W2053246670","https://openalex.org/W2062957951","https://openalex.org/W2141080731","https://openalex.org/W2143840164","https://openalex.org/W2334893464","https://openalex.org/W2626206136","https://openalex.org/W2911358668","https://openalex.org/W3169143925","https://openalex.org/W4205497785","https://openalex.org/W4221135862","https://openalex.org/W4283382211","https://openalex.org/W4306399422"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2013741627","https://openalex.org/W1489621653","https://openalex.org/W2553357593","https://openalex.org/W337130175","https://openalex.org/W2380612839","https://openalex.org/W1567854708","https://openalex.org/W2394397806","https://openalex.org/W2653893021","https://openalex.org/W4235384131"],"abstract_inverted_index":{"Multi-target":[0],"tracking":[1],"suffers":[2],"from":[3],"track":[4,36,95,117,131],"coalescence":[5],"due":[6],"to":[7,45,55,68,99,154],"closely":[8],"spaced":[9],"tracks":[10,18,123],"and":[11,21,64],"so,":[12],"it":[13],"avoids":[14,130],"coupling":[15],"between":[16],"the":[17,26,29,41,57,65,70,89,121,155,161],"in":[19,32,77,124,134,152,160],"clutter":[20],"uncertain":[22],"measurements":[23,104],"environment.":[24],"When":[25],"motion":[27],"of":[28,72,80,120],"multi-targets":[30],"are":[31],"close":[33],"vicinity,":[34],"their":[35],"becomes":[37],"cross-merged":[38],"so":[39],"that":[40],"multi-target":[42,91,103,137],"turn":[43],"out":[44],"be":[46],"one":[47,53],"target.":[48],"We":[49],"propose":[50],"two":[51],"ideas;":[52],"is":[54,67],"refine":[56],"target":[58,73],"estimates":[59],"by":[60],"applying":[61],"smoothing":[62,86,144],"method,":[63],"other":[66,122],"ignore":[69],"influence":[71],"measurement":[74],"being":[75],"tracked":[76],"a":[78,81,115,135],"vicinity":[79],"potential":[82,116],"track.":[83],"The":[84,127,139],"proposed":[85,128],"method":[87,129,141],"uses":[88],"linear":[90],"based":[92],"on":[93],"integrated":[94],"splitting":[96],"filter":[97],"(sLM-ITS)":[98],"avoid":[100],"joint":[101],"(common)":[102],"association":[105],"while":[106],"allowing":[107],"them":[108],"as":[109,145,147,158],"pretended":[110],"clutters.":[111],"Hence,":[112],"sLM-ITS":[113,140],"updates":[114],"without":[118],"impact":[119],"its":[125],"vicinity.":[126],"coales-cence":[132],"significantly":[133],"difficult":[136],"situation.":[138],"provides":[142],"improved":[143],"well":[146],"false-track":[148],"discrimination":[149],"(FTD)":[150],"capabilities":[151],"comparison":[153],"existing":[156],"algorithms":[157],"illustrated":[159],"simulation":[162],"results.":[163]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}