{"id":"https://openalex.org/W2956237160","doi":"https://doi.org/10.1109/avss.2019.8909844","title":"Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks","display_name":"Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2956237160","doi":"https://doi.org/10.1109/avss.2019.8909844","mag":"2956237160"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909844","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":"preprint","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.05813","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048832709","display_name":"Giorgos Bouritsas","orcid":"https://orcid.org/0000-0002-8476-4918"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Giorgos Bouritsas","raw_affiliation_strings":["Imperial College, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084442490","display_name":"Stelios Daveas","orcid":null},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stelios Daveas","raw_affiliation_strings":["National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece","institution_ids":["https://openalex.org/I203474044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032473822","display_name":"Antonios Danelakis","orcid":"https://orcid.org/0000-0002-5925-2179"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Antonios Danelakis","raw_affiliation_strings":["National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece","institution_ids":["https://openalex.org/I203474044"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076129409","display_name":"Stelios C. A. Thomopoulos","orcid":"https://orcid.org/0000-0002-1583-7685"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stelios C. A. Thomopoulos","raw_affiliation_strings":["National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece","National Centre of Scientific Research \u201cDemokritos\u201d"],"affiliations":[{"raw_affiliation_string":"National Center for Scientific Research \u201cDemokritos\u201d, Athens, Greece","institution_ids":["https://openalex.org/I203474044"]},{"raw_affiliation_string":"National Centre of Scientific Research \u201cDemokritos\u201d","institution_ids":["https://openalex.org/I203474044"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048832709"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.4341,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71444124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.998199999332428,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.977400004863739,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7484011650085449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139137387275696},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.656430721282959},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5707094073295593},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5474839210510254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5101414322853088},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5017762184143066},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4785647690296173},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.42667990922927856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38936740159988403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13064351677894592},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07895174622535706},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07735225558280945}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7484011650085449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139137387275696},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.656430721282959},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5707094073295593},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5474839210510254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5101414322853088},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5017762184143066},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4785647690296173},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.42667990922927856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38936740159988403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13064351677894592},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07895174622535706},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07735225558280945},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/avss.2019.8909844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909844","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":"mag:2956237160","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.05813","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1907.05813","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.05813","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"article-journal"}],"best_oa_location":{"id":"mag:2956237160","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.05813","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1484830317","https://openalex.org/W1581745374","https://openalex.org/W1965710323","https://openalex.org/W1968701380","https://openalex.org/W1982433617","https://openalex.org/W2046466133","https://openalex.org/W2064675550","https://openalex.org/W2084335476","https://openalex.org/W2097241863","https://openalex.org/W2099471712","https://openalex.org/W2100106957","https://openalex.org/W2100330570","https://openalex.org/W2100931565","https://openalex.org/W2108778339","https://openalex.org/W2110413449","https://openalex.org/W2110934250","https://openalex.org/W2130942839","https://openalex.org/W2136975357","https://openalex.org/W2149629196","https://openalex.org/W2157331557","https://openalex.org/W2164223054","https://openalex.org/W2167225252","https://openalex.org/W2167538453","https://openalex.org/W2407644922","https://openalex.org/W2424778531","https://openalex.org/W2557283755","https://openalex.org/W2610805882","https://openalex.org/W2734775449","https://openalex.org/W2944437787","https://openalex.org/W6675184237","https://openalex.org/W6679436768","https://openalex.org/W6682027995","https://openalex.org/W6683941694","https://openalex.org/W6713997271"],"related_works":["https://openalex.org/W2989688381","https://openalex.org/W2340643432","https://openalex.org/W3029191757","https://openalex.org/W3092268134","https://openalex.org/W3202227263","https://openalex.org/W2904118126","https://openalex.org/W2790747968","https://openalex.org/W2945452988","https://openalex.org/W3154566103","https://openalex.org/W3109732654","https://openalex.org/W3132295259","https://openalex.org/W2562084117","https://openalex.org/W2617510024","https://openalex.org/W3006055752","https://openalex.org/W3083688670","https://openalex.org/W2320546456","https://openalex.org/W3092782486","https://openalex.org/W1510177572","https://openalex.org/W2912986282","https://openalex.org/W2792207151"],"abstract_inverted_index":{"Detection":[0],"of":[1,28,81,89,101],"anomalous":[2],"trajectories":[3,29,105],"is":[4,95,130],"an":[5],"important":[6],"problem":[7],"with":[8,30],"potential":[9],"applications":[10],"to":[11,39,75],"various":[12],"domains,":[13],"such":[14,43],"as":[15],"video":[16],"surveillance,":[17],"risk":[18],"assessment,":[19],"vessel":[20],"monitoring":[21],"and":[22,50,64,103,129],"high-energy":[23],"physics.":[24],"Modeling":[25],"the":[26,40,87,108],"distribution":[27],"statistical":[31],"approaches":[32,60],"has":[33],"been":[34],"a":[35,73,98],"challenging":[36],"task":[37],"due":[38],"fact":[41],"that":[42,118,124],"time":[44],"series":[45],"are":[46],"usually":[47],"non":[48],"stationary":[49],"highly":[51],"dimensional.":[52],"However,":[53],"modern":[54],"machine":[55],"learning":[56],"techniques":[57],"provide":[58],"robust":[59],"for":[61,78,132],"data-driven":[62],"modeling":[63],"critical":[65],"information":[66],"extraction.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"propose":[72],"Sequence":[74,76],"architecture":[77],"real-time":[79],"detection":[80,93],"anomalies":[82],"in":[83,86],"human":[84],"trajectories,":[85],"context":[88],"risk-based":[90],"security.":[91],"Our":[92],"scheme":[94,120],"tested":[96],"on":[97],"synthetic":[99],"dataset":[100],"diverse":[102],"realistic":[104],"generated":[106],"by":[107],"ISL":[109],"iCrowd":[110],"simulator":[111],"[11],":[112],"[12].":[113],"The":[114],"experimental":[115],"results":[116],"indicate":[117],"our":[119],"accurately":[121],"detects":[122],"motions":[123],"deviate":[125],"from":[126],"normal":[127],"behaviors":[128],"promising":[131],"future":[133],"real-world":[134],"applications.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}