{"id":"https://openalex.org/W1897518114","doi":"https://doi.org/10.1109/mfi.2015.7295794","title":"PTracking: Distributed Multi-Agent Multi-Object Tracking through Multi-Clustered Particle Filtering","display_name":"PTracking: Distributed Multi-Agent Multi-Object Tracking through Multi-Clustered Particle Filtering","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1897518114","doi":"https://doi.org/10.1109/mfi.2015.7295794","mag":"1897518114"},"language":"en","primary_location":{"id":"doi:10.1109/mfi.2015.7295794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2015.7295794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5057532966","display_name":"Fabio Previtali","orcid":"https://orcid.org/0000-0002-2078-1153"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Previtali","raw_affiliation_strings":["Sapienza University of Rome","Sapienza University of Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Sapienza University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026692089","display_name":"Luca Iocchi","orcid":"https://orcid.org/0000-0001-9057-8946"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Iocchi","raw_affiliation_strings":["Sapienza University of Rome","Sapienza University of Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Sapienza University of Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1999","issue":null,"first_page":"110","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9929999709129333,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/particle-filter","display_name":"Particle filter","score":0.8747369050979614},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7040128707885742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6976104974746704},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.5825023651123047},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5439280867576599},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.5263527631759644},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5104348063468933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4877682328224182},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46492481231689453},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.312812864780426}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.8747369050979614},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7040128707885742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976104974746704},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.5825023651123047},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5439280867576599},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.5263527631759644},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5104348063468933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4877682328224182},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46492481231689453},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.312812864780426},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mfi.2015.7295794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mfi.2015.7295794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/849124","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/849124","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1634279436","https://openalex.org/W1751228448","https://openalex.org/W1820162952","https://openalex.org/W1916094900","https://openalex.org/W1976208596","https://openalex.org/W1985690171","https://openalex.org/W1995903777","https://openalex.org/W2029742464","https://openalex.org/W2035537441","https://openalex.org/W2125052758","https://openalex.org/W2131865378","https://openalex.org/W2147953023","https://openalex.org/W2153659954","https://openalex.org/W2734396786","https://openalex.org/W4285719527","https://openalex.org/W6636733766","https://openalex.org/W6637760703","https://openalex.org/W6638533525","https://openalex.org/W6679875354","https://openalex.org/W6682042711"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W4207086172","https://openalex.org/W2042919702","https://openalex.org/W2539990421","https://openalex.org/W1986073206","https://openalex.org/W3004220299","https://openalex.org/W2146873086"],"abstract_inverted_index":{"The":[0],"present":[1,74],"work":[2],"addresses":[3],"the":[4,45,48,128,147],"Distributed":[5,54,80],"Multi-Agent":[6],"Multi-Object":[7],"Tracking":[8],"problem":[9],"where":[10,29],"a":[11,18,90,99,111,116,132,140,153],"team":[12],"of":[13,22,47,98,104,123],"robots":[14,31],"has":[15,161],"to":[16,37,43,60,64,94,119,138,165],"perform":[17,139],"distributed":[19,141],"position":[20],"estimation":[21,113,134,142],"multiple":[23,124],"moving":[24],"objects.":[25,105],"In":[26],"complex":[27],"scenarios,":[28],"mobile":[30,170],"are":[32],"involved,":[33],"it":[34],"is":[35,109,136],"crucial":[36],"disseminate":[38],"reliable":[39],"beliefs":[40],"in":[41,70,127],"order":[42],"avoid":[44],"degradation":[46],"global":[49,133],"estimations.":[50],"To":[51],"this":[52],"end,":[53],"Particle":[55,81,86,117],"Filters":[56],"have":[57],"been":[58],"proven":[59],"be":[61],"effective":[62],"tools":[63],"model":[65],"non-linear":[66],"and":[67,101],"dynamic":[68],"processes":[69],"Multi-Robot":[71],"Systems.":[72],"We":[73,150],"therefore":[75],"an":[76],"asynchronous":[77],"method":[78],"for":[79],"Filtering":[82,87],"based":[83],"on":[84],"Multi-Clustered":[85],"that":[88],"uses":[89,115],"novel":[91],"clustering":[92],"technique":[93],"continuously":[95],"keep":[96],"track":[97],"variable":[100],"unknown":[102],"number":[103],"A":[106],"two-tiered":[107],"architecture":[108],"proposed:":[110],"local":[112,121,129],"layer":[114,135],"Filter":[118],"integrate":[120],"observations":[122],"objects":[125],"detected":[126],"frame,":[130],"while":[131],"used":[137],"integrating":[143],"information":[144],"collected":[145],"from":[146],"other":[148],"robots.":[149],"carried":[151],"out":[152],"quantitative":[154],"evaluation":[155],"demonstrating":[156],"how":[157],"our":[158],"proposed":[159],"approach":[160],"significantly":[162],"better":[163],"robustness":[164],"perception":[166],"noise":[167],"when":[168],"using":[169],"sensors":[171],"rather":[172],"than":[173],"fixed":[174],"sensors.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}