{"id":"https://openalex.org/W2593245765","doi":"https://doi.org/10.1109/tsp.2019.2946023","title":"Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter","display_name":"Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter","publication_year":2019,"publication_date":"2019-10-07","ids":{"openalex":"https://openalex.org/W2593245765","doi":"https://doi.org/10.1109/tsp.2019.2946023","mag":"2593245765"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2019.2946023","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2946023","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/8894184/08861414.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/78/8894184/08861414.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072792589","display_name":"Ba\u2010Ngu Vo","orcid":"https://orcid.org/0000-0003-4202-7722"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ba-Ngu Vo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Curtin University, Bentley, Australia"],"raw_orcid":"https://orcid.org/0000-0003-4202-7722","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Curtin University, Bentley, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070960013","display_name":"Ba-Tuong Vo","orcid":"https://orcid.org/0000-0002-3954-238X"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ba-Tuong Vo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Curtin University, Bentley, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3954-238X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Curtin University, Bentley, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"last","author":{"id":null,"display_name":"Michael Beard","orcid":"https://orcid.org/0000-0001-5194-1407"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Beard","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Curtin University, Bentley, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5194-1407","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Curtin University, Bentley, Australia","institution_ids":["https://openalex.org/I205640436"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205640436"],"apc_list":null,"apc_paid":null,"fwci":0.3192,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67534439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"67","issue":"23","first_page":"5952","last_page":"5967"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9369999766349792,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9366999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.702316164970398},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6616222858428955},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.628588855266571},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6235888600349426},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5476422309875488},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4999980926513672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4986090660095215},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48705747723579407},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.4667905271053314},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.44092294573783875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37728410959243774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33562788367271423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32413995265960693},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1283152997493744},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.10645759105682373},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06773117184638977}],"concepts":[{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.702316164970398},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6616222858428955},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.628588855266571},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6235888600349426},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5476422309875488},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4999980926513672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4986090660095215},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48705747723579407},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.4667905271053314},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.44092294573783875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37728410959243774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33562788367271423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32413995265960693},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1283152997493744},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.10645759105682373},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06773117184638977},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tsp.2019.2946023","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2946023","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/8894184/08861414.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1702.08849","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1702.08849","pdf_url":"https://arxiv.org/pdf/1702.08849","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2593245765","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1702.08849.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/90802","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11937/90802","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"doi:10.48550/arxiv.1702.08849","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1702.08849","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1109/tsp.2019.2946023","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2946023","pdf_url":"https://ieeexplore.ieee.org/ielx7/78/8894184/08861414.pdf","source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1546104303","display_name":"Multi-object Estimation for Live-Cell Microscopy","funder_award_id":"DP160104662","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G8235859806","display_name":"Signal separation and tracking for augmented hearables and wearables","funder_award_id":"DP170104854","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2593245765.pdf","grobid_xml":"https://content.openalex.org/works/W2593245765.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W41222772","https://openalex.org/W95648628","https://openalex.org/W1424291775","https://openalex.org/W1513873506","https://openalex.org/W1745301770","https://openalex.org/W1845278593","https://openalex.org/W1845932225","https://openalex.org/W1909771825","https://openalex.org/W1965106715","https://openalex.org/W1970825336","https://openalex.org/W1994684794","https://openalex.org/W1997942227","https://openalex.org/W2014787937","https://openalex.org/W2020999234","https://openalex.org/W2033804800","https://openalex.org/W2038429130","https://openalex.org/W2043432627","https://openalex.org/W2045834636","https://openalex.org/W2049244691","https://openalex.org/W2055406046","https://openalex.org/W2078742450","https://openalex.org/W2081405447","https://openalex.org/W2084551895","https://openalex.org/W2088373424","https://openalex.org/W2088653780","https://openalex.org/W2099191469","https://openalex.org/W2105905583","https://openalex.org/W2106360727","https://openalex.org/W2110354007","https://openalex.org/W2112085896","https://openalex.org/W2123378338","https://openalex.org/W2126885789","https://openalex.org/W2150704472","https://openalex.org/W2152828142","https://openalex.org/W2154353836","https://openalex.org/W2160320341","https://openalex.org/W2161435744","https://openalex.org/W2163738067","https://openalex.org/W2204383650","https://openalex.org/W2224875720","https://openalex.org/W2511568459","https://openalex.org/W2512863567","https://openalex.org/W2523112045","https://openalex.org/W2526368751","https://openalex.org/W2552885086","https://openalex.org/W2577134563","https://openalex.org/W2744999242","https://openalex.org/W2761761724","https://openalex.org/W2762588164","https://openalex.org/W2786070790","https://openalex.org/W2789551723","https://openalex.org/W2797446878","https://openalex.org/W2883152037","https://openalex.org/W2883475824","https://openalex.org/W2890643015","https://openalex.org/W2901168609","https://openalex.org/W2963272312","https://openalex.org/W2964111495","https://openalex.org/W2964318445","https://openalex.org/W3098020076","https://openalex.org/W3103587788","https://openalex.org/W3187867541","https://openalex.org/W4231517135","https://openalex.org/W4246833555","https://openalex.org/W6601675203","https://openalex.org/W6608734034","https://openalex.org/W6633511732","https://openalex.org/W6676780147","https://openalex.org/W6676849599","https://openalex.org/W6682279650","https://openalex.org/W6742771379","https://openalex.org/W6750851377"],"related_works":["https://openalex.org/W2744999242","https://openalex.org/W2979653692","https://openalex.org/W3155412684","https://openalex.org/W2889736680","https://openalex.org/W2790451687","https://openalex.org/W3115285440","https://openalex.org/W2958164716","https://openalex.org/W3009125544","https://openalex.org/W3153270660","https://openalex.org/W3006338135","https://openalex.org/W2900106703","https://openalex.org/W2905242517","https://openalex.org/W2748082993","https://openalex.org/W3098020076","https://openalex.org/W2903616121","https://openalex.org/W2890698864","https://openalex.org/W2510574469","https://openalex.org/W2175859323","https://openalex.org/W2999005763","https://openalex.org/W2198537677"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"efficient":[4],"implementation":[5,19,50],"of":[6,83,92],"the":[7,22,26,36,52,65,81,89],"multi-sensor":[8,37],"generalized":[9],"labeled":[10],"multi-Bernoulli":[11],"(GLMB)":[12],"filter.":[13],"Like":[14],"its":[15],"single-sensor":[16,27],"counterpart,":[17],"such":[18],"requires":[20,29],"truncating":[21,64],"GLMB":[23,53,66],"sum.":[24],"However":[25],"case":[28,38],"solving":[30,40],"2-D":[31],"ranked":[32,42],"assignment":[33,43],"problems":[34],"whereas":[35],"require":[39],"multi-dimensional":[41],"problems,":[44],"which":[45],"are":[46],"NP-hard.":[47],"The":[48,73],"proposed":[49],"exploits":[51],"joint":[54],"prediction":[55],"and":[56,86],"update":[57],"together":[58],"with":[59],"a":[60,77],"new":[61],"technique":[62],"for":[63],"filtering":[67],"density":[68],"based":[69],"on":[70],"Gibbs":[71],"sampling.":[72],"resulting":[74],"algorithm":[75],"has":[76],"quadratic":[78],"complexity":[79],"in":[80,88],"number":[82,91],"hypothesized":[84],"objects":[85],"linear":[87],"total":[90],"measurements":[93],"from":[94],"all":[95],"sensors.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}