{"id":"https://openalex.org/W2903380502","doi":"https://doi.org/10.1109/tcds.2018.2883368","title":"Abnormal Event Detection From Videos Using a Two-Stream Recurrent Variational Autoencoder","display_name":"Abnormal Event Detection From Videos Using a Two-Stream Recurrent Variational Autoencoder","publication_year":2018,"publication_date":"2018-11-26","ids":{"openalex":"https://openalex.org/W2903380502","doi":"https://doi.org/10.1109/tcds.2018.2883368","mag":"2903380502"},"language":"en","primary_location":{"id":"doi:10.1109/tcds.2018.2883368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2018.2883368","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-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/A5007039694","display_name":"Shiyang Yan","orcid":"https://orcid.org/0000-0003-1411-5952"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyang Yan","raw_affiliation_strings":["Xi\u2019an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1411-5952","affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003757015","display_name":"Jeremy S. Smith","orcid":"https://orcid.org/0000-0002-0212-2365"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeremy S. Smith","raw_affiliation_strings":["University of Liverpool, Liverpool, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110074987","display_name":"Wenjin Lu","orcid":"https://orcid.org/0000-0001-7038-3789"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjin Lu","raw_affiliation_strings":["Xi\u2019an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086628680","display_name":"Bailing Zhang","orcid":"https://orcid.org/0000-0002-5472-2100"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailing Zhang","raw_affiliation_strings":["Xi\u2019an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5691,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.96699408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"12","issue":"1","first_page":"30","last_page":"42"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.995199978351593,"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":0.8715958595275879},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7774164080619812},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7355865240097046},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7312908172607422},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6357506513595581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6323999166488647},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5872909426689148},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5232700109481812},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.46528831124305725},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.449117511510849},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4205503463745117},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3235783576965332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3224526643753052},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3149922490119934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8715958595275879},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7774164080619812},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7355865240097046},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7312908172607422},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6357506513595581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6323999166488647},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5872909426689148},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5232700109481812},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.46528831124305725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.449117511510849},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4205503463745117},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3235783576965332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3224526643753052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3149922490119934},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcds.2018.2883368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcds.2018.2883368","pdf_url":null,"source":{"id":"https://openalex.org/S2488537894","display_name":"IEEE Transactions on Cognitive and Developmental Systems","issn_l":"2379-8920","issn":["2379-8920","2379-8939"],"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 Cognitive and Developmental Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":108,"referenced_works":["https://openalex.org/W592244745","https://openalex.org/W639708223","https://openalex.org/W787785461","https://openalex.org/W1485009520","https://openalex.org/W1492261040","https://openalex.org/W1522301498","https://openalex.org/W1536680647","https://openalex.org/W1595717062","https://openalex.org/W1686810756","https://openalex.org/W1691728462","https://openalex.org/W1745334888","https://openalex.org/W1849277567","https://openalex.org/W1906598733","https://openalex.org/W1909320841","https://openalex.org/W1931450083","https://openalex.org/W1933340426","https://openalex.org/W1959608418","https://openalex.org/W1967456674","https://openalex.org/W1993799640","https://openalex.org/W2012931101","https://openalex.org/W2055846239","https://openalex.org/W2064675550","https://openalex.org/W2066608756","https://openalex.org/W2074076772","https://openalex.org/W2100495367","https://openalex.org/W2102674365","https://openalex.org/W2104657103","https://openalex.org/W2105101328","https://openalex.org/W2107878631","https://openalex.org/W2108501770","https://openalex.org/W2110934250","https://openalex.org/W2116435618","https://openalex.org/W2118978333","https://openalex.org/W2121167733","https://openalex.org/W2122361470","https://openalex.org/W2125105611","https://openalex.org/W2125276050","https://openalex.org/W2126574503","https://openalex.org/W2127070222","https://openalex.org/W2141200610","https://openalex.org/W2156303437","https://openalex.org/W2158698691","https://openalex.org/W2161969291","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2188365844","https://openalex.org/W2194775991","https://openalex.org/W2278426522","https://openalex.org/W2280121500","https://openalex.org/W2286533962","https://openalex.org/W2303262788","https://openalex.org/W2340896621","https://openalex.org/W2341058432","https://openalex.org/W2342662179","https://openalex.org/W2395611524","https://openalex.org/W2397807156","https://openalex.org/W2460849547","https://openalex.org/W2467604901","https://openalex.org/W2470142083","https://openalex.org/W2505121268","https://openalex.org/W2519730330","https://openalex.org/W2523332653","https://openalex.org/W2527569769","https://openalex.org/W2531279268","https://openalex.org/W2540481276","https://openalex.org/W2617773690","https://openalex.org/W2725960771","https://openalex.org/W2753526808","https://openalex.org/W2757473709","https://openalex.org/W2765281357","https://openalex.org/W2766042998","https://openalex.org/W2807998075","https://openalex.org/W2902455138","https://openalex.org/W2949416428","https://openalex.org/W2951326654","https://openalex.org/W2953106684","https://openalex.org/W2962835968","https://openalex.org/W2962897886","https://openalex.org/W2963223306","https://openalex.org/W2964032056","https://openalex.org/W2964121744","https://openalex.org/W3153872861","https://openalex.org/W3169498202","https://openalex.org/W4300506038","https://openalex.org/W6617744952","https://openalex.org/W6620707391","https://openalex.org/W6622789128","https://openalex.org/W6628877408","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6637412569","https://openalex.org/W6639204139","https://openalex.org/W6639732818","https://openalex.org/W6639829327","https://openalex.org/W6640284076","https://openalex.org/W6640963894","https://openalex.org/W6675944832","https://openalex.org/W6677326919","https://openalex.org/W6682864246","https://openalex.org/W6687045409","https://openalex.org/W6720208624","https://openalex.org/W6724782142","https://openalex.org/W6725762681","https://openalex.org/W6727654133","https://openalex.org/W6744372087","https://openalex.org/W6756753118","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W127192698","https://openalex.org/W2743735673","https://openalex.org/W2570600173","https://openalex.org/W3094337645","https://openalex.org/W2893008024","https://openalex.org/W2990799928","https://openalex.org/W2360131081","https://openalex.org/W2985941356","https://openalex.org/W4361801939","https://openalex.org/W2802243998"],"abstract_inverted_index":{"With":[0],"the":[1,9,33,37,48,78,82,96,110,114,128,143,157,159,161,163,166],"massive":[2],"deployment":[3],"of":[4,12,39,58,62,66,95,113,145],"distributed":[5],"video":[6,16,63],"surveillance":[7,64],"systems,":[8],"automatic":[10],"detection":[11],"abnormal":[13,24,42,49],"events":[14,43,50],"in":[15,117],"streams":[17,130],"has":[18,88],"become":[19],"an":[20],"urgent":[21],"need.":[22],"An":[23],"event":[25],"can":[26,108,131],"be":[27],"considered":[28],"as":[29],"a":[30,59,71,89,104,118],"deviation":[31],"from":[32,127],"regular":[34,67],"scene;":[35],"however,":[36],"distribution":[38,112],"normal":[40,115],"and":[41,98,124,165],"is":[44,93],"severely":[45],"imbalanced,":[46],"since":[47],"do":[51],"not":[52],"frequently":[53],"occur.":[54],"To":[55],"make":[56],"use":[57],"large":[60],"number":[61],"videos":[65],"scenes,":[68],"we":[69],"propose":[70],"semi-supervised":[72,119],"learning":[73,120],"scheme,":[74],"which":[75,155],"only":[76],"uses":[77],"data":[79,116,153],"that":[80,92],"contains":[81],"ordinary":[83],"scenes.":[84],"The":[85,122],"proposed":[86,147],"model":[87,109],"two-stream":[90],"structure":[91],"composed":[94],"appearance":[97,123],"motion":[99,125],"streams.":[100],"For":[101],"each":[102],"stream,":[103],"recurrent":[105],"variational":[106],"autoencoder":[107],"probabilistic":[111,138],"scheme.":[121],"features":[126],"two":[129],"provide":[132],"complementary":[133],"information":[134],"to":[135],"describe":[136],"this":[137],"distribution.":[139],"Comprehensive":[140],"experiments":[141],"validate":[142],"effectiveness":[144],"our":[146],"scheme":[148],"on":[149],"several":[150],"public":[151],"benchmark":[152],"sets":[154],"include":[156],"Avenue,":[158],"Ped1,":[160],"Ped2,":[162],"Subway-entry,":[164],"Subway-exit.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}