{"id":"https://openalex.org/W4312121260","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9979934","title":"A CPHD Filter Based on EM Star-Convex Random Hypersurface Model for Multiple Extended Targets","display_name":"A CPHD Filter Based on EM Star-Convex Random Hypersurface Model for Multiple Extended Targets","publication_year":2022,"publication_date":"2022-11-05","ids":{"openalex":"https://openalex.org/W4312121260","doi":"https://doi.org/10.1109/cisp-bmei56279.2022.9979934"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei56279.2022.9979934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9979934","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5002634184","display_name":"Ian Li","orcid":"https://orcid.org/0000-0002-1438-8830"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University,Beijing,China","School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073553385","display_name":"Jinping Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinping Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University,Beijing,China","School of Electronic and Information Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113021710","display_name":"Fuyuan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyuan Feng","raw_affiliation_strings":["CETC Satellite Navigation Operation Service Co., Ltd,Shijiazhuang,China","CETC Satellite Navigation Operation Service Co., Ltd, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CETC Satellite Navigation Operation Service Co., Ltd,Shijiazhuang,China","institution_ids":["https://openalex.org/I4210100278"]},{"raw_affiliation_string":"CETC Satellite Navigation Operation Service Co., Ltd, Shijiazhuang, China","institution_ids":["https://openalex.org/I4210100278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1038,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32048768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"46","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":0.9997000098228455,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9829999804496765,"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":0.9801999926567078,"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/filter","display_name":"Filter (signal processing)","score":0.7854151725769043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5140088796615601},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4884244501590729},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4866562485694885},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.469830721616745},{"id":"https://openalex.org/keywords/star","display_name":"Star (game theory)","score":0.4646095335483551},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4468536972999573},{"id":"https://openalex.org/keywords/hypersurface","display_name":"Hypersurface","score":0.4367119073867798},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43104150891304016},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3422902226448059},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33478081226348877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2615342140197754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16740944981575012},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09723341464996338}],"concepts":[{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.7854151725769043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5140088796615601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4884244501590729},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4866562485694885},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.469830721616745},{"id":"https://openalex.org/C2780897414","wikidata":"https://www.wikidata.org/wiki/Q7600592","display_name":"Star (game theory)","level":2,"score":0.4646095335483551},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4468536972999573},{"id":"https://openalex.org/C114410712","wikidata":"https://www.wikidata.org/wiki/Q973321","display_name":"Hypersurface","level":2,"score":0.4367119073867798},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43104150891304016},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3422902226448059},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33478081226348877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2615342140197754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16740944981575012},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09723341464996338},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei56279.2022.9979934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei56279.2022.9979934","pdf_url":null,"source":{"id":"https://openalex.org/S4363605502","display_name":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":"2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2847385575","display_name":null,"funder_award_id":"62131001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1709455389","https://openalex.org/W1974801345","https://openalex.org/W1993235647","https://openalex.org/W2007097714","https://openalex.org/W2007760421","https://openalex.org/W2018275473","https://openalex.org/W2058568645","https://openalex.org/W2091365726","https://openalex.org/W2126885789","https://openalex.org/W2137585588","https://openalex.org/W2144598923","https://openalex.org/W2170790908","https://openalex.org/W2892055118","https://openalex.org/W4299818172","https://openalex.org/W6631682160","https://openalex.org/W6632122215","https://openalex.org/W6633593558","https://openalex.org/W6678239302"],"related_works":["https://openalex.org/W834447687","https://openalex.org/W2950325999","https://openalex.org/W2040382607","https://openalex.org/W2154734935","https://openalex.org/W2952832090","https://openalex.org/W2121611394","https://openalex.org/W4239786835","https://openalex.org/W2024906426","https://openalex.org/W2951523575","https://openalex.org/W2949618778"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,38,45,57,66,71,82,88,95,98,102,110,114,123,127,131],"problem":[3],"of":[4,40,70,90,97,113,122,130],"tracking":[5,111],"multiple":[6,50],"extended":[7,51,73,132],"targets":[8,52,133],"with":[9],"irregular":[10],"shapes":[11],"in":[12],"complex":[13],"scenes,":[14],"this":[15],"paper":[16],"presents":[17],"a":[18],"Cardinalized":[19],"Probability":[20],"Hypothesis":[21],"Density":[22],"(CPHD)":[23],"filter":[24,100,117],"built":[25],"on":[26,37,101],"EM":[27,91],"iteration":[28,92],"and":[29,75,126],"Star-Convex":[30],"Random":[31],"Hypersurface":[32],"Model":[33],"(SRHM).":[34],"Firstly,":[35],"based":[36],"theory":[39],"Finite":[41],"Set":[42],"Statistics":[43],"(FISST),":[44],"Bayesian":[46],"filtering":[47,84],"framework":[48],"for":[49],"is":[53,62,78,118,134],"established":[54],"by":[55],"using":[56],"CPHD":[58,83],"filter.":[59],"Then,":[60],"SRHM":[61],"adopted":[63],"to":[64,80],"describe":[65],"measurement":[67],"source":[68],"distribution":[69],"star-convex":[72],"target,":[74],"Unscented":[76],"Transform":[77],"used":[79],"embed":[81],"process.":[85],"In":[86],"addition,":[87],"incorporation":[89],"significantly":[93],"alleviates":[94],"dependence":[96],"SRHM-CPHD":[99,124],"RHM":[103],"prior.":[104],"The":[105],"simulation":[106],"results":[107],"show":[108],"that":[109,121],"performance":[112],"proposed":[115],"EMSRHM-CPHD":[116],"better":[119],"than":[120],"filter,":[125],"parameter":[128],"estimation":[129],"more":[135],"accurate.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
