{"id":"https://openalex.org/W2911384376","doi":"https://doi.org/10.1109/taes.2019.2897035","title":"Improved Multiple Hypothesis Tracker for Joint Multiple Target Tracking and Feature Extraction","display_name":"Improved Multiple Hypothesis Tracker for Joint Multiple Target Tracking and Feature Extraction","publication_year":2019,"publication_date":"2019-02-02","ids":{"openalex":"https://openalex.org/W2911384376","doi":"https://doi.org/10.1109/taes.2019.2897035","mag":"2911384376"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2019.2897035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2897035","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-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/A5100665342","display_name":"Le Zheng","orcid":"https://orcid.org/0000-0002-4972-9199"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Le Zheng","raw_affiliation_strings":["Columbia University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382658","display_name":"Xiaodong Wang","orcid":"https://orcid.org/0000-0002-2945-9240"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Wang","raw_affiliation_strings":["Columbia University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100665342"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":1.1561,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83782375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"55","issue":"6","first_page":"3080","last_page":"3089"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9937999844551086,"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/feature-extraction","display_name":"Feature extraction","score":0.689179539680481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647986650466919},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6248688697814941},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5782567858695984},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5523621439933777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5516355037689209},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4460749924182892},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3943396806716919}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.689179539680481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647986650466919},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6248688697814941},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5782567858695984},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5523621439933777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5516355037689209},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4460749924182892},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3943396806716919},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taes.2019.2897035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2019.2897035","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W405321894","https://openalex.org/W622930292","https://openalex.org/W1973421894","https://openalex.org/W1987061427","https://openalex.org/W1988985343","https://openalex.org/W2001817222","https://openalex.org/W2006961489","https://openalex.org/W2007224163","https://openalex.org/W2028191993","https://openalex.org/W2039087487","https://openalex.org/W2048605796","https://openalex.org/W2074346632","https://openalex.org/W2103204412","https://openalex.org/W2107668180","https://openalex.org/W2109621815","https://openalex.org/W2110494913","https://openalex.org/W2115071885","https://openalex.org/W2119499160","https://openalex.org/W2123457453","https://openalex.org/W2127021804","https://openalex.org/W2131084851","https://openalex.org/W2150440166","https://openalex.org/W2153594606","https://openalex.org/W2154126605","https://openalex.org/W2155680787","https://openalex.org/W2156546747","https://openalex.org/W2162147924","https://openalex.org/W2167077875","https://openalex.org/W2296616510","https://openalex.org/W2406671474","https://openalex.org/W2536371456","https://openalex.org/W2565293665","https://openalex.org/W2962830492","https://openalex.org/W2964106337","https://openalex.org/W4243182635","https://openalex.org/W4250955649","https://openalex.org/W6676377087","https://openalex.org/W6713720400","https://openalex.org/W6728978909"],"related_works":["https://openalex.org/W4386159726","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W1964749215","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2151520854","https://openalex.org/W2033213769","https://openalex.org/W2811390910"],"abstract_inverted_index":{"Feature-aided":[0],"tracking":[1,6,13],"can":[2],"often":[3],"yield":[4],"improved":[5],"performance":[7,151],"over":[8],"the":[9,20,24,37,41,73,79,86,94,97,104,107,118,127,131,134,150,153],"standard":[10],"multiple":[11,58],"target":[12,69],"(MTT)":[14],"algorithms.":[15],"However,":[16],"in":[17,36,67],"many":[18],"applications,":[19],"feature":[21,42,65,82,108,120,142],"signal":[22,83,109],"of":[23,27,81,96,130,138,152],"targets":[25],"consists":[26],"sparse":[28,105],"Fourier-domain":[29],"signals.":[30],"It":[31],"changes":[32],"quickly":[33],"and":[34,40,49,64,84,141],"nonlinearly":[35],"time":[38],"domain,":[39],"measurements":[43],"are":[44,110,146],"corrupted":[45],"by":[46,100,112],"missed":[47],"detections":[48],"misassociations.":[50,101],"In":[51],"this":[52],"paper,":[53],"we":[54],"develop":[55],"a":[56,114],"feature-aided":[57],"hypothesis":[59],"tracker":[60],"for":[61],"joint":[62],"MTT":[63],"extraction":[66],"dense":[68],"environments.":[70],"We":[71],"use":[72,85,137],"atomic":[74],"norm":[75],"constraint":[76],"to":[77,92,125,148],"formulate":[78,93],"sparsity":[80,95],"\u2113":[87],"<sub":[88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[90],"-norm":[91],"corruption":[98],"induced":[99],"Based":[102],"on":[103],"representation,":[106],"estimated":[111,119],"solving":[113],"semidefinite":[115],"program.":[116],"With":[117],"signal,":[121],"refiltering":[122],"is":[123],"performed":[124],"estimate":[126],"kinematic":[128,140],"states":[129],"targets,":[132],"where":[133],"association":[135],"makes":[136],"both":[139],"information.":[143],"Simulation":[144],"results":[145],"presented":[147],"illustrate":[149],"proposed":[154],"algorithm.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}