{"id":"https://openalex.org/W4310269132","doi":"https://doi.org/10.1109/avss56176.2022.9959613","title":"Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model","display_name":"Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4310269132","doi":"https://doi.org/10.1109/avss56176.2022.9959613"},"language":"en","primary_location":{"id":"doi:10.1109/avss56176.2022.9959613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss56176.2022.9959613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5048444161","display_name":"Giulia Slavic","orcid":"https://orcid.org/0000-0003-3641-3483"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]},{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["ES","IT"],"is_corresponding":false,"raw_author_name":"Giulia Slavic","raw_affiliation_strings":["University of Genoa,DITEN,Italy","DITEN, University of Genoa, Italy","University Carlos III of Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"University Carlos III of Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101436392","display_name":"Pablo Mar\u00edn","orcid":"https://orcid.org/0000-0001-7196-434X"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pablo Marin Plaza","raw_affiliation_strings":["University Carlos III of Madrid,Spain","University Carlos III of Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Carlos III of Madrid,Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"University Carlos III of Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019722167","display_name":"Lucio Marcenaro","orcid":"https://orcid.org/0000-0003-1515-120X"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lucio Marcenaro","raw_affiliation_strings":["University of Genoa,DITEN,Italy","DITEN, University of Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961834","display_name":"David Mart\u00edn","orcid":"https://orcid.org/0000-0003-3764-5083"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Martin Gomez","raw_affiliation_strings":["University Carlos III of Madrid,Spain","University Carlos III of Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Carlos III of Madrid,Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"University Carlos III of Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055281228","display_name":"Carlo S. Regazzoni","orcid":"https://orcid.org/0000-0001-6617-1417"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Regazzoni","raw_affiliation_strings":["University of Genoa,DITEN,Italy","DITEN, University of Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9922000169754028,"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/computer-science","display_name":"Computer science","score":0.7226635217666626},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.7123789191246033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6854541301727295},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6543408036231995},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6286576390266418},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6143068075180054},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5877726078033447},{"id":"https://openalex.org/keywords/odometry","display_name":"Odometry","score":0.5600858330726624},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.48126479983329773},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47714850306510925},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.44076991081237793},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3996031880378723},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3201131224632263},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.1680956780910492},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.12838131189346313}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226635217666626},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.7123789191246033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6854541301727295},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6543408036231995},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6286576390266418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6143068075180054},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5877726078033447},{"id":"https://openalex.org/C49441653","wikidata":"https://www.wikidata.org/wiki/Q2014717","display_name":"Odometry","level":4,"score":0.5600858330726624},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.48126479983329773},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47714850306510925},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.44076991081237793},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3996031880378723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3201131224632263},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.1680956780910492},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.12838131189346313},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/avss56176.2022.9959613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss56176.2022.9959613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/1102876","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1102876","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W114565888","https://openalex.org/W834081922","https://openalex.org/W1686810756","https://openalex.org/W2138754805","https://openalex.org/W2153418039","https://openalex.org/W2183341477","https://openalex.org/W2200124539","https://openalex.org/W2343204888","https://openalex.org/W2464234964","https://openalex.org/W2479936045","https://openalex.org/W2584731199","https://openalex.org/W2751471435","https://openalex.org/W2752709290","https://openalex.org/W2767019433","https://openalex.org/W2795645133","https://openalex.org/W2891442281","https://openalex.org/W2903038716","https://openalex.org/W2905795134","https://openalex.org/W2925005717","https://openalex.org/W2962799344","https://openalex.org/W2970161764","https://openalex.org/W2970323465","https://openalex.org/W2973164307","https://openalex.org/W2982181458","https://openalex.org/W2987570663","https://openalex.org/W3109438594","https://openalex.org/W3120253624","https://openalex.org/W3120732559","https://openalex.org/W3128125668","https://openalex.org/W3138284076","https://openalex.org/W3193560742","https://openalex.org/W4206281157","https://openalex.org/W6623316541","https://openalex.org/W6637373629","https://openalex.org/W6680294583","https://openalex.org/W6719357382","https://openalex.org/W6744063608","https://openalex.org/W6756653186","https://openalex.org/W6757047819"],"related_works":["https://openalex.org/W4380763496","https://openalex.org/W2100339372","https://openalex.org/W4309137623","https://openalex.org/W3179470708","https://openalex.org/W2166220596","https://openalex.org/W2017210410","https://openalex.org/W1993009522","https://openalex.org/W1995792634","https://openalex.org/W2135672910","https://openalex.org/W2012949382"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,7,19,61,85,100,135,141,146,151],"method":[4,127],"to":[5,38,112,116],"localize":[6],"moving":[8,149],"agent":[9],"-":[10,17],"such":[11],"as":[12],"an":[13],"autonomous":[14],"surveillance":[15],"vehicle":[16,31,136],"inside":[18],"known":[20],"environment":[21,143],"using":[22],"First":[23],"Person":[24],"Viewpoint":[25],"video":[26,72,94],"data.":[27,73,95,124],"Anomalies":[28],"w.r.t.":[29],"expected":[30],"motion":[32],"and":[33,50,71,84,115,144],"image":[34],"content":[35],"are":[36,47],"extracted":[37],"guide":[39],"the":[40,44,52,55,58,81,93,97,107,118],"localization,":[41],"signal":[42],"when":[43],"localization":[45],"results":[46],"not":[48],"trustworthy":[49],"explain":[51],"reason":[53],"for":[54],"failure.":[56],"During":[57,96],"training":[59],"phase,":[60,99],"Dynamic":[62,109],"Bayesian":[63,110],"Network":[64,111],"model":[65],"is":[66,78,90,128],"learned,":[67],"which":[68],"couples":[69],"positional":[70],"To":[74],"learn":[75],"it,":[76],"clustering":[77],"performed":[79],"on":[80,130],"odometry":[82],"data,":[83],"modified":[86],"Kalman":[87],"Variational":[88],"Autoencoder":[89],"built":[91],"over":[92],"testing":[98],"Coupled":[101],"Markov":[102],"Jump":[103],"Particle":[104],"Filter":[105],"leverages":[106],"learned":[108],"extract":[113],"anomalies":[114],"estimate":[117],"vehicle\u2019s":[119],"position,":[120],"given":[121],"only":[122],"camera":[123],"The":[125],"proposed":[126],"evaluated":[129],"two":[131],"real-world":[132],"datasets":[133],"of":[134,140,145],"performing":[137],"perimeter":[138],"monitoring":[139],"closed":[142],"shopping":[147],"cart":[148],"in":[150],"supermarket.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
