{"id":"https://openalex.org/W3016162056","doi":"https://doi.org/10.1109/icassp40776.2020.9053250","title":"Inferring Dynamic Group Leadership Using Sequential Bayesian Methods","display_name":"Inferring Dynamic Group Leadership Using Sequential Bayesian Methods","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016162056","doi":"https://doi.org/10.1109/icassp40776.2020.9053250","mag":"3016162056"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.17863/cam.64117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100404155","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-0297-4346"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Engineering Department, University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Department, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020836373","display_name":"Simon Godsill","orcid":"https://orcid.org/0000-0001-9522-9681"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon J. Godsill","raw_affiliation_strings":["Engineering Department, University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Department, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025073373","display_name":"Jiaming Liang","orcid":"https://orcid.org/0000-0002-1318-4481"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiaming Liang","raw_affiliation_strings":["Engineering Department, University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Department, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009317778","display_name":"Bashar I. Ahmad","orcid":"https://orcid.org/0000-0001-8974-6041"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bashar I. Ahmad","raw_affiliation_strings":["Engineering Department, University of Cambridge, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Department, University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.69,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.72321242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"8911","last_page":"8915"},"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":0.9965999722480774,"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":0.9965999722480774,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10895","display_name":"Species Distribution and Climate Change","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6540434956550598},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6538952589035034},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6230667233467102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5955517888069153},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49710968136787415},{"id":"https://openalex.org/keywords/group-behavior","display_name":"Group behavior","score":0.4882047772407532},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47802576422691345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.459328830242157},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4581119418144226},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.45156314969062805},{"id":"https://openalex.org/keywords/group-identification","display_name":"Group identification","score":0.4438697099685669},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.4193311929702759},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3644907772541046},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.18028926849365234},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08790609240531921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540434956550598},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6538952589035034},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6230667233467102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5955517888069153},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49710968136787415},{"id":"https://openalex.org/C2986275291","wikidata":"https://www.wikidata.org/wiki/Q839578","display_name":"Group behavior","level":2,"score":0.4882047772407532},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47802576422691345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.459328830242157},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4581119418144226},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.45156314969062805},{"id":"https://openalex.org/C2986487301","wikidata":"https://www.wikidata.org/wiki/Q5146163","display_name":"Group identification","level":2,"score":0.4438697099685669},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.4193311929702759},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3644907772541046},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.18028926849365234},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08790609240531921},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:generic.eprints.org:1224575","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/1224575/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","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":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/317006","is_oa":false,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/317006","pdf_url":null,"source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"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":"Conference Object"},{"id":"doi:10.17863/cam.64117","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.64117","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Other"}],"best_oa_location":{"id":"doi:10.17863/cam.64117","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.64117","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522727408","https://openalex.org/W1571268436","https://openalex.org/W1974074437","https://openalex.org/W1975520369","https://openalex.org/W1983861084","https://openalex.org/W2010236945","https://openalex.org/W2012929209","https://openalex.org/W2044717160","https://openalex.org/W2064119066","https://openalex.org/W2064480843","https://openalex.org/W2070154721","https://openalex.org/W2078413699","https://openalex.org/W2080868736","https://openalex.org/W2114432902","https://openalex.org/W2119176411","https://openalex.org/W2132673546","https://openalex.org/W2136168294","https://openalex.org/W2136353173","https://openalex.org/W2145482857","https://openalex.org/W2149241770","https://openalex.org/W2150312211","https://openalex.org/W2510060989","https://openalex.org/W2512995182","https://openalex.org/W2519501255","https://openalex.org/W2953449510","https://openalex.org/W4211127940","https://openalex.org/W4307492541","https://openalex.org/W6724992308"],"related_works":["https://openalex.org/W1964038743","https://openalex.org/W2015530857","https://openalex.org/W2204775314","https://openalex.org/W2012949382","https://openalex.org/W2078527184","https://openalex.org/W2159948353","https://openalex.org/W2068488155","https://openalex.org/W1982994189","https://openalex.org/W4237443585","https://openalex.org/W1606694343"],"abstract_inverted_index":{"In":[0],"group":[1,8,29,92,117],"object":[2,93],"tracking,":[3],"the":[4,7,16,27,62,66,89,106,109,116],"identification":[5],"of":[6,21,65,108,114],"leader":[9,90,118],"can":[10,60],"be":[11],"highly":[12],"beneficial":[13],"for":[14,38],"predicting":[15],"intention":[17],"and":[18,79,97],"future":[19],"manoeuvres":[20],"objects":[22],"as":[23,25],"well":[24],"learning":[26],"underlying":[28],"behaviour":[30],"traits.":[31],"This":[32],"paper":[33],"presents":[34],"an":[35,75],"online":[36,76],"approach":[37],"inferring":[39],"dominant":[40],"entities":[41],"in":[42,69,91,112],"tracked":[43],"groups":[44,70],"from":[45],"observations.":[46],"Unlike":[47],"traditional":[48],"leader-follower":[49],"models,":[50],"here":[51],"we":[52],"develop":[53],"a":[54],"new":[55],"rotated":[56],"leadership":[57],"model":[58],"that":[59],"capture":[61],"dynamic":[63],"evolution":[64],"interaction":[67],"patterns":[68],"over":[71],"time.":[72],"Two":[73],"methods,":[74],"Gibbs":[77],"sampler":[78],"deterministic":[80],"particle":[81],"filter,":[82],"are":[83,102],"then":[84],"designed":[85],"to":[86,104],"infer":[87],"sequentially":[88],"tracking":[94],"scenarios.":[95],"Synthetic":[96],"real":[98],"pigeon":[99],"flocking":[100],"data":[101],"used":[103],"demonstrate":[105],"effectiveness":[107],"proposed":[110],"techniques":[111],"terms":[113],"identifying":[115],"under":[119],"complex":[120],"dynamics.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}