{"id":"https://openalex.org/W3012200311","doi":"https://doi.org/10.1109/eais48028.2020.9122766","title":"Anomaly Detection in Video Data Based on Probabilistic Latent Space Models","display_name":"Anomaly Detection in Video Data Based on Probabilistic Latent Space Models","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3012200311","doi":"https://doi.org/10.1109/eais48028.2020.9122766","mag":"3012200311"},"language":"en","primary_location":{"id":"doi:10.1109/eais48028.2020.9122766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais48028.2020.9122766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11567/1018457","any_repository_has_fulltext":true},"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/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":"Giulia Slavic","raw_affiliation_strings":["University of Genova,DITEN,Italy","DITEN, University of Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genova,DITEN,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN, University of Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007586148","display_name":"Damian Campo","orcid":"https://orcid.org/0000-0003-3720-9759"},"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":"Damian Campo","raw_affiliation_strings":["University of Genova,DITEN,Italy","DITEN, University of Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genova,DITEN,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN, University of Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067321490","display_name":"Mohamad Baydoun","orcid":"https://orcid.org/0000-0001-5194-1730"},"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":"Mohamad Baydoun","raw_affiliation_strings":["University of Genova,DITEN,Italy","DITEN, University of Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genova,DITEN,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN, University of Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"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","raw_affiliation_strings":["University Carlos III de Madrid,Intelligent systems lab,Spain","Intelligent systems lab, University Carlos III de Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Carlos III de Madrid,Intelligent systems lab,Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Intelligent systems lab, University Carlos III de Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"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","raw_affiliation_strings":["University Carlos III de Madrid,Intelligent systems lab,Spain","Intelligent systems lab, University Carlos III de Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Carlos III de Madrid,Intelligent systems lab,Spain","institution_ids":["https://openalex.org/I50357001"]},{"raw_affiliation_string":"Intelligent systems lab, University Carlos III de 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 Genova,DITEN,Italy","DITEN, University of Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genova,DITEN,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN, University of Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"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 Genova,DITEN,Italy","DITEN, University of Genova, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Genova,DITEN,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN, University of Genova, 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":1.8213,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88210361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976999759674072,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9908999800682068,"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/autoencoder","display_name":"Autoencoder","score":0.7337196469306946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7046303153038025},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.696225643157959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5724814534187317},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4972520172595978},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4743596017360687},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47045791149139404},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.46532127261161804},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.46260273456573486},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4603441059589386},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4286285638809204},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3821563124656677},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.36957257986068726},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1728636920452118}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7337196469306946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7046303153038025},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.696225643157959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5724814534187317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4972520172595978},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4743596017360687},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47045791149139404},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.46532127261161804},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.46260273456573486},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4603441059589386},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4286285638809204},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3821563124656677},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.36957257986068726},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1728636920452118},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eais48028.2020.9122766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais48028.2020.9122766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/1018457","is_oa":true,"landing_page_url":"https://hdl.handle.net/11567/1018457","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unige.it:11567/1018457","is_oa":true,"landing_page_url":"https://hdl.handle.net/11567/1018457","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1414038597","https://openalex.org/W1511986666","https://openalex.org/W1749494163","https://openalex.org/W1864342284","https://openalex.org/W1959608418","https://openalex.org/W1965621269","https://openalex.org/W1983899894","https://openalex.org/W2114168642","https://openalex.org/W2137601554","https://openalex.org/W2299778380","https://openalex.org/W2343204888","https://openalex.org/W2464754550","https://openalex.org/W2476588267","https://openalex.org/W2479936045","https://openalex.org/W2489109135","https://openalex.org/W2612573399","https://openalex.org/W2662969263","https://openalex.org/W2665124875","https://openalex.org/W2744316982","https://openalex.org/W2756233686","https://openalex.org/W2757473709","https://openalex.org/W2759341202","https://openalex.org/W2788388592","https://openalex.org/W2799223587","https://openalex.org/W2807057449","https://openalex.org/W2891442281","https://openalex.org/W2916780108","https://openalex.org/W2929038359","https://openalex.org/W2948978827","https://openalex.org/W2963167203","https://openalex.org/W2963193706","https://openalex.org/W2964058958","https://openalex.org/W2964248288","https://openalex.org/W2970645682","https://openalex.org/W2996950367","https://openalex.org/W3016271378","https://openalex.org/W3098057674","https://openalex.org/W3104293058","https://openalex.org/W4297812480","https://openalex.org/W6640963894","https://openalex.org/W6677180984","https://openalex.org/W6740417705"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W3202913553","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,44,87,91,96],"method":[4,79],"for":[5,17,48],"detecting":[6,72],"anomalies":[7,73],"in":[8,74,95],"video":[9,22,76,84],"data.":[10],"A":[11],"Variational":[12],"Autoencoder":[13],"(VAE)":[14],"is":[15,29,64,80],"used":[16],"reducing":[18],"the":[19,41,68],"dimensionality":[20],"of":[21,43,93],"frames,":[23],"generating":[24],"latent":[25],"space":[26],"information":[27],"that":[28],"comparable":[30],"to":[31,66],"low-dimensional":[32],"sensory":[33],"data":[34],"(e.g.,":[35],"positioning,":[36],"steering":[37],"angle),":[38],"making":[39],"feasible":[40],"development":[42],"consistent":[45],"multi-modal":[46],"architecture":[47],"autonomous":[49],"vehicles.":[50],"An":[51],"Adapted":[52],"Markov":[53],"Jump":[54],"Particle":[55],"Filter":[56],"defined":[57],"by":[58],"discrete":[59],"and":[60,71],"continuous":[61],"inference":[62],"levels":[63],"employed":[65],"predict":[67],"following":[69],"frames":[70],"new":[75],"sequences.":[77],"Our":[78],"evaluated":[81],"on":[82],"different":[83],"scenarios":[85],"where":[86],"semi-autonomous":[88],"vehicle":[89],"performs":[90],"set":[92],"tasks":[94],"closed":[97],"environment.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}