{"id":"https://openalex.org/W2039366421","doi":"https://doi.org/10.1109/eais.2012.6232814","title":"A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems","display_name":"A real-time approach for novelty detection and trajectories analysis for anomaly recognition in video surveillance systems","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2039366421","doi":"https://doi.org/10.1109/eais.2012.6232814","mag":"2039366421"},"language":"en","primary_location":{"id":"doi:10.1109/eais.2012.6232814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2012.6232814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Evolving and Adaptive Intelligent Systems","raw_type":"proceedings-article"},"type":"article","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/A5063605405","display_name":"Pouria Sadeghi\u2010Tehran","orcid":"https://orcid.org/0000-0003-0352-227X"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pouria Sadeghi-Tehran","raw_affiliation_strings":["School of Computing and Communications, Infolab21, Lancaster University, UK","School of Computing and Communications, Infolab21, Lancaster University, United Kingdom, LA1 4WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, Infolab21, Lancaster University, UK","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"School of Computing and Communications, Infolab21, Lancaster University, United Kingdom, LA1 4WA","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039480864","display_name":"Plamen Angelov","orcid":"https://orcid.org/0000-0002-5770-934X"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Plamen Angelov","raw_affiliation_strings":["School of Computing and Communications, Infolab21, Lancaster University, UK","School of Computing and Communications, Infolab21, Lancaster University, United Kingdom, LA1 4WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, Infolab21, Lancaster University, UK","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"School of Computing and Communications, Infolab21, Lancaster University, United Kingdom, LA1 4WA","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67415387"],"apc_list":null,"apc_paid":null,"fwci":1.3292,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83669131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"108","last_page":"113"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9947999715805054,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7745915651321411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.69549560546875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6284655332565308},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5872271656990051},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5584699511528015},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5488454103469849},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.546431839466095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5212138891220093},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.501251220703125},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.4960375726222992},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4581010639667511},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4263155460357666},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4114304482936859},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.3342750668525696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18758630752563477}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7745915651321411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69549560546875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6284655332565308},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5872271656990051},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5584699511528015},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5488454103469849},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.546431839466095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5212138891220093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.501251220703125},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.4960375726222992},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4581010639667511},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4263155460357666},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4114304482936859},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.3342750668525696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18758630752563477},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eais.2012.6232814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2012.6232814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Evolving and Adaptive Intelligent Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:56259","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/56259/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Contribution in Book/Report/Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W194690841","https://openalex.org/W1480376833","https://openalex.org/W1496327888","https://openalex.org/W1990997812","https://openalex.org/W2036121527","https://openalex.org/W2046778278","https://openalex.org/W2108883382","https://openalex.org/W2118143383","https://openalex.org/W2146944178","https://openalex.org/W2148238513","https://openalex.org/W2164223054","https://openalex.org/W2164711546","https://openalex.org/W2167752857","https://openalex.org/W2171033594","https://openalex.org/W2483137123","https://openalex.org/W3023411394","https://openalex.org/W3156359708","https://openalex.org/W4213332169","https://openalex.org/W6682028543","https://openalex.org/W6683941694"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W3025682415","https://openalex.org/W2081173909","https://openalex.org/W4389009659","https://openalex.org/W4312933423","https://openalex.org/W2604316291"],"abstract_inverted_index":{"In":[0,34,77],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,38,56,64,71,103,108],"novel":[6],"approach":[7,27,41,113],"for":[8,18,49],"automatic":[9],"object":[10,82],"detection":[11,21],"and":[12,67,117,134],"also":[13],"using":[14,55,125],"on-line":[15,86],"trajectory":[16,83],"clustering":[17],"RT":[19],"anomaly":[20],"in":[22,90,107],"video":[23,91],"streams.":[24,92],"The":[25],"proposed":[26],"is":[28,47,54,84,132],"based":[29],"on":[30,63],"two":[31],"main":[32],"steps.":[33],"the":[35,78,98,115,118,122,128],"first":[36,97],"step,":[37,80],"recently":[39],"introduced":[40],"called":[42],"Recursive":[43],"Density":[44],"Estimation":[45],"(RDE)":[46],"used":[48],"novelty":[50],"detection.":[51],"This":[52],"method":[53],"Cauchy":[57],"type":[58],"of":[59,105],"kernel":[60],"which":[61,111],"works":[62],"frame-by-frame":[65],"basis":[66],"does":[68],"not":[69],"require":[70],"pre-defined":[72],"threshold":[73],"to":[74,87,110],"identify":[75,88,94],"objects.":[76],"second":[79],"multifeature":[81],"clustered":[85],"anomalies":[89],"To":[93],"an":[95],"anomaly,":[96],"trajectories":[99,137],"are":[100,138],"transformed":[101],"into":[102],"set":[104],"features":[106],"space":[109],"eClustering":[112],"identifies":[114],"modes":[116],"corresponding":[119],"clusters.":[120],"At":[121],"end,":[123],"by":[124],"cluster":[126],"fusion":[127],"final":[129],"common":[130],"pattern":[131],"estimated":[133],"any":[135],"sparse":[136],"considered":[139],"as":[140],"anomalous.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}