{"id":"https://openalex.org/W2989752879","doi":"https://doi.org/10.1109/avss.2019.8909908","title":"Abnormality Detection using Graph Matching for Multi-Task Dynamics of Autonomous Systems","display_name":"Abnormality Detection using Graph Matching for Multi-Task Dynamics of Autonomous Systems","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989752879","doi":"https://doi.org/10.1109/avss.2019.8909908","mag":"2989752879"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11567/991501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078682521","display_name":"Hassan Zaal","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Hassan Zaal","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London,UK","School of Electronic Engineering and Computer Science, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"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,Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN),Italy","Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genova,Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN),Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"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,Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN),Italy","Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genova,Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN),Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006187169","display_name":"Laurissa Tokarchuk","orcid":"https://orcid.org/0000-0002-3118-5031"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Laurissa Tokarchuk","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London,UK","School of Electronic Engineering and Computer Science, Queen Mary University of London, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"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 S. Regazzoni","raw_affiliation_strings":["University of Genova,Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN),Italy","Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genova,Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN),Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078682521"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58515542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":0.9993000030517578,"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":0.9993000030517578,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9987999796867371,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9577999711036682,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.686525821685791},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5914524793624878},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5675281882286072},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5455843210220337},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47233858704566956},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.46033960580825806},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4193362891674042},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.416924387216568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4143514335155487},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3138529658317566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17608928680419922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.686525821685791},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5914524793624878},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5675281882286072},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5455843210220337},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47233858704566956},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.46033960580825806},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4193362891674042},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.416924387216568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4143514335155487},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3138529658317566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17608928680419922},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/avss.2019.8909908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/991501","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/991501","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":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unige.it:11567/991501","is_oa":true,"landing_page_url":"http://hdl.handle.net/11567/991501","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":"","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":23,"referenced_works":["https://openalex.org/W2027842533","https://openalex.org/W2138754805","https://openalex.org/W2142726150","https://openalex.org/W2158131535","https://openalex.org/W2160512933","https://openalex.org/W2343204888","https://openalex.org/W2419507445","https://openalex.org/W2558012406","https://openalex.org/W2602151599","https://openalex.org/W2604545383","https://openalex.org/W2613682588","https://openalex.org/W2665124875","https://openalex.org/W2799132636","https://openalex.org/W2807744099","https://openalex.org/W2891442281","https://openalex.org/W2903619514","https://openalex.org/W2909805545","https://openalex.org/W2912681837","https://openalex.org/W2914949695","https://openalex.org/W2951824725","https://openalex.org/W2962828829","https://openalex.org/W2964058958","https://openalex.org/W6680294583"],"related_works":["https://openalex.org/W4247543202","https://openalex.org/W4243456421","https://openalex.org/W2417397217","https://openalex.org/W2355857550","https://openalex.org/W3093256375","https://openalex.org/W1841421040","https://openalex.org/W2896815346","https://openalex.org/W3028882978","https://openalex.org/W1487766990","https://openalex.org/W2049983311"],"abstract_inverted_index":{"Self-learning":[0],"abilities":[1],"in":[2,29,128],"autonomous":[3,30,136],"systems":[4],"are":[5,120],"essential":[6],"to":[7,42,48,72],"improve":[8],"their":[9],"situational":[10],"awareness":[11],"and":[12,132],"detection":[13,28],"of":[14,55,94],"normal/abnormal":[15],"situations.":[16],"In":[17,76],"this":[18,77],"work,":[19],"we":[20,79],"propose":[21],"a":[22,49,53,61,74,86,102,126,129,134,140],"graph":[23,114],"matching":[24,115],"technique":[25],"for":[26],"activity":[27],"agents":[31],"by":[32,100,125,133],"using":[33],"the":[34,90,105,113],"Gromov-Wasserstein":[35],"framework.":[36],"A":[37],"clustering":[38],"approach":[39],"is":[40,67,98,110],"used":[41,68],"discretise":[43],"continuous":[44],"agents'":[45],"states":[46],"related":[47],"specific":[50],"task":[51],"into":[52],"set":[54],"nodes":[56,66],"with":[57],"similar":[58],"objectives.":[59],"Additionally,":[60],"probabilistic":[62],"transition":[63],"matrix":[64],"between":[65,92],"as":[69],"edges":[70],"weights":[71],"build":[73],"graph.":[75],"paper,":[78],"extract":[80],"an":[81],"abnormal":[82],"area":[83],"based":[84],"on":[85,104],"sub-graph":[87,97],"that":[88],"encodes":[89],"differences":[91],"coupled":[93],"activities.":[95],"Such":[96],"obtained":[99,111,118],"applying":[101],"threshold":[103],"optimal":[106],"transport":[107],"matrix,":[108],"which":[109],"through":[112,122],"procedure.":[116],"The":[117],"results":[119],"evaluated":[121],"experiments":[123],"performed":[124],"robot":[127],"simulated":[130],"environment":[131],"real":[135],"vehicle":[137],"moving":[138],"within":[139],"University":[141],"Campus.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-12-05T00:00:00"}