{"id":"https://openalex.org/W2606538621","doi":"https://doi.org/10.1109/tip.2017.2695105","title":"Video Anomaly Detection With Compact Feature Sets for Online Performance","display_name":"Video Anomaly Detection With Compact Feature Sets for Online Performance","publication_year":2017,"publication_date":"2017-04-18","ids":{"openalex":"https://openalex.org/W2606538621","doi":"https://doi.org/10.1109/tip.2017.2695105","mag":"2606538621","pmid":"https://pubmed.ncbi.nlm.nih.gov/28436865"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2695105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2695105","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Video_anomaly_detection_with_compact_feature_sets_for_online_performance/20767414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055392319","display_name":"Roberto Leyva","orcid":"https://orcid.org/0000-0003-4561-8798"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Roberto Leyva","raw_affiliation_strings":["Computer Science Department, University of Warwick, Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100634965","display_name":"V\u00edctor S\u00e1nchez","orcid":"https://orcid.org/0000-0002-7089-7031"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Victor Sanchez","raw_affiliation_strings":["Computer Science Department, University of Warwick, Coventry, U.K"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075200053","display_name":"Chang\u2010Tsun Li","orcid":"https://orcid.org/0000-0003-4735-6138"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chang-Tsun Li","raw_affiliation_strings":["School of Computing and Mathematics, Charles Sturt University, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Mathematics, Charles Sturt University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I153230381"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055392319"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":13.3023,"has_fulltext":false,"cited_by_count":169,"citation_normalized_percentile":{"value":0.98942759,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":"7","first_page":"3463","last_page":"3478"},"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9980000257492065,"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":0.996999979019165,"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":0.8040159940719604},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7797604203224182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5540159344673157},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5519886016845703},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5076731443405151},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4864618480205536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48235028982162476},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4716557562351227},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4663611650466919},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45494723320007324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45189762115478516},{"id":"https://openalex.org/keywords/foreground-detection","display_name":"Foreground detection","score":0.43953943252563477},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.42384713888168335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040159940719604},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7797604203224182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5540159344673157},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5519886016845703},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5076731443405151},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4864618480205536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48235028982162476},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4716557562351227},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4663611650466919},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45494723320007324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45189762115478516},{"id":"https://openalex.org/C2779769447","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Foreground detection","level":4,"score":0.43953943252563477},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.42384713888168335},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2017.2695105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2695105","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:28436865","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28436865","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:wrap.warwick.ac.uk:117156","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:figshare.com:article/20767414","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Video_anomaly_detection_with_compact_feature_sets_for_online_performance/20767414","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20767414","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Video_anomaly_detection_with_compact_feature_sets_for_online_performance/20767414","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1437144967","https://openalex.org/W1528124672","https://openalex.org/W1573546770","https://openalex.org/W1595717062","https://openalex.org/W1613782521","https://openalex.org/W1957718552","https://openalex.org/W1963789929","https://openalex.org/W1967456674","https://openalex.org/W1967815760","https://openalex.org/W1989964267","https://openalex.org/W1991251598","https://openalex.org/W1994634851","https://openalex.org/W1999499433","https://openalex.org/W2012931101","https://openalex.org/W2015461918","https://openalex.org/W2020463883","https://openalex.org/W2021659075","https://openalex.org/W2026418062","https://openalex.org/W2038943746","https://openalex.org/W2047016883","https://openalex.org/W2056713419","https://openalex.org/W2072075581","https://openalex.org/W2072208715","https://openalex.org/W2074076772","https://openalex.org/W2097363716","https://openalex.org/W2108404684","https://openalex.org/W2111589119","https://openalex.org/W2112657736","https://openalex.org/W2119799051","https://openalex.org/W2122361470","https://openalex.org/W2123175289","https://openalex.org/W2125105611","https://openalex.org/W2128207232","https://openalex.org/W2140233853","https://openalex.org/W2157485925","https://openalex.org/W2162915993","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2170932168","https://openalex.org/W2293881382","https://openalex.org/W2386995892","https://openalex.org/W2507130172","https://openalex.org/W3143144647","https://openalex.org/W4300179783","https://openalex.org/W6654325442"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2025614924","https://openalex.org/W2735765216","https://openalex.org/W3145575561","https://openalex.org/W2995886640","https://openalex.org/W1591475660","https://openalex.org/W2294335174","https://openalex.org/W2123129869","https://openalex.org/W2360918960"],"abstract_inverted_index":{"Over":[0],"the":[1,71,85,88,108,130,134,137],"past":[2],"decade,":[3],"video":[4,34],"anomaly":[5,35],"detection":[6,143,202],"has":[7],"been":[8],"explored":[9],"with":[10,205],"remarkable":[11],"results.":[12],"However,":[13],"research":[14],"on":[15,70,149,155],"methodologies":[16],"suitable":[17],"for":[18,33],"online":[19,31,195],"performance":[20,203],"is":[21,43,52],"still":[22],"very":[23,200],"limited.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28,92],"present":[29],"an":[30,103],"framework":[32,42,101,127,148,192],"detection.":[36],"The":[37,100],"key":[38],"aspect":[39],"of":[40,47,78,87,133,164],"our":[41,147,191],"a":[44,55,66,75,156,161,199],"compact":[45,109],"set":[46,111,159,174],"highly":[48],"descriptive":[49],"features,":[50],"which":[51],"extracted":[53],"from":[54],"novel":[56],"cell":[57],"structure":[58],"that":[59,106,190],"helps":[60],"to":[61,122,141],"define":[62],"support":[63,79],"regions":[64,80],"in":[65,120,136],"coarse-to-fine":[67],"fashion.":[68],"Based":[69],"scene's":[72],"activity,":[73],"only":[74],"limited":[76],"number":[77],"are":[81],"processed,":[82],"thus":[83],"limiting":[84],"size":[86],"feature":[89,110],"set.":[90],"Specifically,":[91],"use":[93],"foreground":[94],"occupancy":[95],"and":[96,118,154,183,197],"optical":[97],"flow":[98],"features.":[99],"uses":[102],"inference":[104],"mechanism":[105],"evaluates":[107],"via":[112],"Gaussian":[113],"Mixture":[114],"Models,":[115],"Markov":[116],"Chains,":[117],"Bag-of-Words":[119],"order":[121],"detect":[123],"abnormal":[124],"events.":[125],"Our":[126],"also":[128],"considers":[129],"joint":[131],"response":[132],"models":[135],"local":[138],"spatio-temporal":[139],"neighborhood":[140],"increase":[142],"accuracy.":[144],"We":[145],"test":[146],"popular":[150],"existing":[151],"data":[152,158,173],"sets":[153],"new":[157],"comprising":[160],"wide":[162],"variety":[163],"realistic":[165],"videos":[166,177],"captured":[167],"by":[168],"surveillance":[169,176],"cameras.":[170],"This":[171],"particular":[172],"includes":[175],"depicting":[178],"criminal":[179],"activities,":[180],"car":[181],"accidents,":[182],"other":[184,194],"dangerous":[185],"situations.":[186],"Evaluation":[187],"results":[188],"show":[189],"outperforms":[193],"methods":[196],"attains":[198],"competitive":[201],"compared":[204],"state-of-the-art":[206],"non-online":[207],"methods.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}