{"id":"https://openalex.org/W4409156679","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942647","title":"Multiple Target Tracking in Unknown and Time-Varying Measurement Noise Intensity","display_name":"Multiple Target Tracking in Unknown and Time-Varying Measurement Noise Intensity","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409156679","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942647"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf60004.2024.10942647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","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/A5014048046","display_name":"Yong-Ho Seo","orcid":"https://orcid.org/0000-0003-1426-7147"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongho Seo","raw_affiliation_strings":["School of Electrical, Computer, and Energy Engineering, Arizona State University,Tempe"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, and Energy Engineering, Arizona State University,Tempe","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010743010","display_name":"Bahman Moraffah","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahman Moraffah","raw_affiliation_strings":["School of Electrical, Computer, and Energy Engineering, Arizona State University,Tempe"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, and Energy Engineering, Arizona State University,Tempe","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116925635","display_name":"Antonia Papandreaou-Suppappola","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonia Papandreaou-Suppappola","raw_affiliation_strings":["School of Electrical, Computer, and Energy Engineering, Arizona State University,Tempe"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer, and Energy Engineering, Arizona State University,Tempe","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"74","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9722999930381775,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9722999930381775,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9603999853134155,"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/tracking","display_name":"Tracking (education)","score":0.6878024339675903},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6027073264122009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6017256379127502},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5615787506103516},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4215090274810791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37373071908950806},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.14610889554023743},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1024247407913208},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07857349514961243},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.054559171199798584}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6878024339675903},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6027073264122009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017256379127502},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5615787506103516},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4215090274810791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37373071908950806},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.14610889554023743},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1024247407913208},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07857349514961243},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.054559171199798584},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf60004.2024.10942647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","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":14,"referenced_works":["https://openalex.org/W1965943163","https://openalex.org/W2061965691","https://openalex.org/W2069429561","https://openalex.org/W2123054294","https://openalex.org/W2151967501","https://openalex.org/W2920067846","https://openalex.org/W3017884031","https://openalex.org/W4211164258","https://openalex.org/W4248681815","https://openalex.org/W4251668937","https://openalex.org/W6677910561","https://openalex.org/W6678007500","https://openalex.org/W6690332741","https://openalex.org/W7019243395"],"related_works":["https://openalex.org/W2327107878","https://openalex.org/W2171117985","https://openalex.org/W1526760723","https://openalex.org/W2012356576","https://openalex.org/W2126659863","https://openalex.org/W3112120395","https://openalex.org/W4385670989","https://openalex.org/W2102487628","https://openalex.org/W2009680848","https://openalex.org/W2150465873"],"abstract_inverted_index":{"Tracking":[0],"multi-object":[1],"states":[2,37,94],"under":[3],"time-varying":[4],"(TV)":[5],"measurement":[6],"noise":[7,40,58,82,96,116],"presents":[8],"a":[9,69,74,120],"critical":[10],"challenge":[11],"in":[12,115,136],"numerous":[13],"real-world":[14],"applications,":[15],"from":[16],"radar":[17],"tracking":[18],"to":[19],"sensor":[20],"networks,":[21],"where":[22],"dynamic":[23],"environments":[24],"and":[25,38,56,91,95,105,133,146],"uncertain":[26],"observations":[27],"are":[28],"the":[29,33,128,144],"norm.":[30],"Accurately":[31],"capturing":[32],"interplay":[34],"between":[35],"object":[36],"evolving":[39],"parameters":[41,83],"is":[42],"essential":[43],"for":[44,124],"robust":[45],"performance,":[46],"yet":[47],"existing":[48],"methods":[49],"often":[50],"fall":[51],"short":[52],"when":[53],"handling":[54],"unknown":[55,104],"time-dependent":[57],"variations.":[59],"In":[60],"this":[61,65],"paper,":[62],"we":[63],"address":[64],"gap":[66],"by":[67],"introducing":[68],"novel":[70],"framework":[71],"based":[72],"on":[73],"dependent":[75],"Dirichlet":[76],"process":[77],"(DDP),":[78],"which":[79],"flexibly":[80],"models":[81],"as":[84],"marginally":[85],"distributed":[86],"at":[87],"each":[88],"time":[89],"step":[90],"jointly":[92],"estimates":[93],"dynamics.":[97],"The":[98],"approach":[99],"not":[100],"only":[101],"accommodates":[102],"an":[103],"varying":[106],"number":[107],"of":[108,148],"objects":[109],"but":[110],"also":[111],"detects":[112],"temporal":[113],"shifts":[114],"characteristics.":[117],"We":[118,140],"employ":[119],"Gibbs":[121],"sampling-based":[122],"strategy":[123],"efficient":[125],"posterior":[126],"computation;":[127],"proposed":[129,150],"method":[130],"achieves":[131],"reliable":[132],"adaptive":[134],"performance":[135,147],"complex,":[137],"non-stationary":[138],"environments.":[139],"demonstrate":[141],"through":[142],"experiments":[143],"robustness":[145],"our":[149],"methods.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
