{"id":"https://openalex.org/W4206151626","doi":"https://doi.org/10.23919/ecc54610.2021.9655137","title":"Gaussian Mixture Probability Hypothesis Density Filter with State-Dependent Probabilities","display_name":"Gaussian Mixture Probability Hypothesis Density Filter with State-Dependent Probabilities","publication_year":2021,"publication_date":"2021-06-29","ids":{"openalex":"https://openalex.org/W4206151626","doi":"https://doi.org/10.23919/ecc54610.2021.9655137"},"language":"en","primary_location":{"id":"doi:10.23919/ecc54610.2021.9655137","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc54610.2021.9655137","pdf_url":null,"source":{"id":"https://openalex.org/S4363608272","display_name":"2021 European Control Conference (ECC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 European Control Conference (ECC)","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/A5063896542","display_name":"Yi\u2010Chieh Sun","orcid":"https://orcid.org/0000-0001-5854-0956"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yi-Chieh Sun","raw_affiliation_strings":["School of Aeronautics Astronautics Engineering, Purdue University, West Lafayette"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics Astronautics Engineering, Purdue University, West Lafayette","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079117845","display_name":"Inseok Hwang","orcid":"https://orcid.org/0000-0001-7847-9865"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Inseok Hwang","raw_affiliation_strings":["School of Aeronautics Astronautics Engineering, Purdue University, West Lafayette"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics Astronautics Engineering, Purdue University, West Lafayette","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063896542"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.2513,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52421013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1156","last_page":"1161"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9466000199317932,"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/gaussian","display_name":"Gaussian","score":0.6975181698799133},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6631088256835938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5707979798316956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5126473307609558},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.48345622420310974},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.45924830436706543},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4160323143005371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3847317695617676},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3694368302822113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3639022707939148},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36164170503616333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3249567151069641},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1645582616329193},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07552310824394226}],"concepts":[{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6975181698799133},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6631088256835938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5707979798316956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5126473307609558},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.48345622420310974},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.45924830436706543},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4160323143005371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3847317695617676},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3694368302822113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3639022707939148},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36164170503616333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3249567151069641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1645582616329193},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07552310824394226},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc54610.2021.9655137","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc54610.2021.9655137","pdf_url":null,"source":{"id":"https://openalex.org/S4363608272","display_name":"2021 European Control Conference (ECC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W1557595030","https://openalex.org/W1728234168","https://openalex.org/W2014787937","https://openalex.org/W2057661804","https://openalex.org/W2086772504","https://openalex.org/W2097183228","https://openalex.org/W2137585588","https://openalex.org/W2150440166","https://openalex.org/W2155680787","https://openalex.org/W2292512488","https://openalex.org/W2954004020","https://openalex.org/W6633511732","https://openalex.org/W6637661750"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2626306547","https://openalex.org/W2021396365","https://openalex.org/W2394134009","https://openalex.org/W2119515433","https://openalex.org/W2009561238","https://openalex.org/W1340065","https://openalex.org/W2215635302"],"abstract_inverted_index":{"The":[0,123],"Gaussian":[1],"mixture":[2],"probability":[3,88],"hypothesis":[4],"density":[5],"(GM-PHD)":[6],"filter":[7,43,82],"has":[8],"been":[9],"successfully":[10],"applied":[11],"to":[12,20,23,55,104],"various":[13],"multiple":[14],"target":[15,31,46,141],"tracking":[16],"(MTT)":[17],"applications":[18],"due":[19],"its":[21,58],"ability":[22],"estimate":[24],"both":[25],"the":[26,41,45,52,64,79,86,96,106,112,126,148],"number":[27],"of":[28,89,109,111,125,147],"targets":[29,65],"and":[30,37,48,51,91,143],"states":[32],"from":[33],"noisy":[34],"measurements":[35,71],"effectively":[36],"efficiently.":[38],"However,":[39],"since":[40],"GM-PHD":[42,81,150],"assumed":[44],"detection":[47,90],"survival":[49,92],"probabilities":[50],"birth":[53,98],"rate":[54],"be":[56,61],"constant,":[57],"performance":[59,124],"could":[60],"degraded":[62],"when":[63,70],"are":[66,72],"temporarily":[67],"occluded":[68],"or":[69],"missing.":[73],"To":[74],"address":[75],"this,":[76],"we":[77,114],"propose":[78],"state-dependent":[80,87,97],"which":[83,139],"explicitly":[84],"considers":[85],"as":[93,95],"well":[94],"rate.":[99],"In":[100],"addition,":[101],"in":[102,134],"order":[103],"consider":[105],"different":[107],"kinds":[108],"maneuvers":[110],"target,":[113],"use":[115],"a":[116,121,135],"hybrid":[117],"system":[118],"model":[119],"for":[120],"target.":[122],"proposed":[127],"algorithm":[128],"is":[129],"illustrated":[130],"with":[131,145],"an":[132],"example":[133],"road":[136],"traffic":[137],"simulation,":[138],"includes":[140],"occlusion,":[142],"compared":[144],"that":[146],"original":[149],"filter.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}