{"id":"https://openalex.org/W3045521023","doi":"https://doi.org/10.1109/icc40277.2020.9148688","title":"On the Labeled Multi-Bernoulli Filter with Merged Measurements","display_name":"On the Labeled Multi-Bernoulli Filter with Merged Measurements","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045521023","doi":"https://doi.org/10.1109/icc40277.2020.9148688","mag":"3045521023"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9148688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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/A5013854580","display_name":"Augustin A. Saucan","orcid":"https://orcid.org/0000-0002-8524-8544"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Augustin A. Saucan","raw_affiliation_strings":["Wireless Information and Network Sciences Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Wireless Information and Network Sciences Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067048409","display_name":"Moe Z. Win","orcid":"https://orcid.org/0000-0002-8573-0488"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moe Z. Win","raw_affiliation_strings":["Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013854580"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.1359,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55269716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9919999837875366,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/filter","display_name":"Filter (signal processing)","score":0.7714388370513916},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.7140151858329773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687480211257935},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6390851736068726},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.617559015750885},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.593345582485199},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5519261360168457},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5097398161888123},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3755979835987091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3653109669685364},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08843418955802917}],"concepts":[{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.7714388370513916},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.7140151858329773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687480211257935},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6390851736068726},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.617559015750885},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.593345582485199},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5519261360168457},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5097398161888123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3755979835987091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3653109669685364},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08843418955802917},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc40277.2020.9148688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1531532259","https://openalex.org/W1557595030","https://openalex.org/W1909771825","https://openalex.org/W1965106715","https://openalex.org/W1978748895","https://openalex.org/W2011282943","https://openalex.org/W2049244691","https://openalex.org/W2069167397","https://openalex.org/W2088897393","https://openalex.org/W2130596108","https://openalex.org/W2130751540","https://openalex.org/W2144084055","https://openalex.org/W2255383600","https://openalex.org/W2294294332","https://openalex.org/W2523112045","https://openalex.org/W2764024189","https://openalex.org/W2786070790","https://openalex.org/W2883152037","https://openalex.org/W2890698864","https://openalex.org/W2892370975","https://openalex.org/W2972776893","https://openalex.org/W2979480132","https://openalex.org/W6633511732"],"related_works":["https://openalex.org/W2249919526","https://openalex.org/W2791968570","https://openalex.org/W2215635302","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W1570633076","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W4388689193","https://openalex.org/W29633852"],"abstract_inverted_index":{"In":[0,38],"this":[1,39],"work,":[2,40],"we":[3,41,59],"propose":[4],"a":[5,14,81],"Labeled":[6],"Multi-Bernoulli":[7],"(LMB)":[8],"filter":[9,67,90],"for":[10,48],"multi-object":[11,49],"tracking":[12,50],"with":[13,94],"merged":[15,36],"measurement":[16,83],"model.":[17],"The":[18],"finite":[19],"resolution":[20],"capabilities":[21],"of":[22,64,87],"practical":[23],"sensing":[24],"systems":[25],"can":[26],"lead":[27],"to":[28,75,96],"scenarios":[29],"where":[30],"multiple":[31],"objects":[32],"interact":[33],"and":[34,51],"generate":[35],"measurements.":[37],"rely":[42],"on":[43,70],"the":[44,53,65,71,97],"tractable":[45],"LMB":[46,55,99],"model":[47],"derive":[52],"Merged-Measurement":[54],"(MM-LMB)":[56],"filter.":[57,100],"Subsequently,":[58],"achieve":[60],"an":[61],"efficient":[62],"implementation":[63],"MM-LMB":[66],"by":[68],"relying":[69],"K-shortest":[72],"paths":[73],"algorithm":[74],"find":[76],"likely":[77],"object-set":[78],"partitions":[79],"given":[80],"particular":[82],"set.":[84],"Numerical":[85],"results":[86],"our":[88],"proposed":[89],"show":[91],"improved":[92],"performance":[93],"respect":[95],"standard":[98]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2025-10-10T00:00:00"}