{"id":"https://openalex.org/W4385062997","doi":"https://doi.org/10.1109/tcsvt.2023.3297114","title":"Learning Appearance-Motion Synergy via Memory-Guided Event Prediction for Video Anomaly Detection","display_name":"Learning Appearance-Motion Synergy via Memory-Guided Event Prediction for Video Anomaly Detection","publication_year":2023,"publication_date":"2023-07-20","ids":{"openalex":"https://openalex.org/W4385062997","doi":"https://doi.org/10.1109/tcsvt.2023.3297114"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3297114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3297114","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5047696788","display_name":"Chongye Guo","orcid":"https://orcid.org/0000-0003-2963-6072"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chongye Guo","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037821670","display_name":"Hongbo Wang","orcid":"https://orcid.org/0000-0003-3794-3806"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Wang","raw_affiliation_strings":["Micro-Electronics Research Institute, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Micro-Electronics Research Institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044918612","display_name":"Yingjie Xia","orcid":"https://orcid.org/0000-0002-4642-2503"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Xia","raw_affiliation_strings":["College of Computer Sciences, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043596876","display_name":"Guorui Feng","orcid":"https://orcid.org/0000-0001-8249-2608"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorui Feng","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047696788"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":6.6456,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.97480451,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":"3","first_page":"1519","last_page":"1531"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9959999918937683,"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"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7616713047027588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7267739772796631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7266279458999634},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.625890851020813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5103341937065125},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5049915909767151},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.492406964302063},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46257972717285156},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45234596729278564},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.4361332356929779},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4238089323043823},{"id":"https://openalex.org/keywords/normative","display_name":"Normative","score":0.4160272181034088},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39990776777267456},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38878729939460754},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17479470372200012},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.1568044126033783}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7616713047027588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267739772796631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7266279458999634},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.625890851020813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5103341937065125},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5049915909767151},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.492406964302063},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46257972717285156},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45234596729278564},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.4361332356929779},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4238089323043823},{"id":"https://openalex.org/C44725695","wikidata":"https://www.wikidata.org/wiki/Q288156","display_name":"Normative","level":2,"score":0.4160272181034088},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39990776777267456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38878729939460754},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17479470372200012},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.1568044126033783},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3297114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3297114","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6698752278","display_name":null,"funder_award_id":"62072295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1901129140","https://openalex.org/W1967456674","https://openalex.org/W2138092272","https://openalex.org/W2163612318","https://openalex.org/W2341058432","https://openalex.org/W2546696630","https://openalex.org/W2560474170","https://openalex.org/W2738760021","https://openalex.org/W2753526808","https://openalex.org/W2766042539","https://openalex.org/W2777342313","https://openalex.org/W2962749469","https://openalex.org/W2963049059","https://openalex.org/W2963061824","https://openalex.org/W2963372104","https://openalex.org/W2963524571","https://openalex.org/W2963610939","https://openalex.org/W2963680240","https://openalex.org/W2963795951","https://openalex.org/W2964067226","https://openalex.org/W2964232409","https://openalex.org/W2966792645","https://openalex.org/W2981650061","https://openalex.org/W2981741013","https://openalex.org/W2987146532","https://openalex.org/W2987228832","https://openalex.org/W2991506670","https://openalex.org/W3014352273","https://openalex.org/W3015483809","https://openalex.org/W3015832418","https://openalex.org/W3016155278","https://openalex.org/W3022606336","https://openalex.org/W3035240825","https://openalex.org/W3081430643","https://openalex.org/W3103592385","https://openalex.org/W3108027406","https://openalex.org/W3129071613","https://openalex.org/W3168984673","https://openalex.org/W3170135154","https://openalex.org/W3176309086","https://openalex.org/W3177187266","https://openalex.org/W3183026600","https://openalex.org/W3202590754","https://openalex.org/W4210446097","https://openalex.org/W4213077673","https://openalex.org/W4221027477","https://openalex.org/W4293584584","https://openalex.org/W4308235898","https://openalex.org/W4312639100","https://openalex.org/W4312935555","https://openalex.org/W4313067886","https://openalex.org/W6628877408","https://openalex.org/W6719057275","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829","https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037"],"abstract_inverted_index":{"Classic":[0],"unsupervised":[1],"anomaly":[2,23,44],"detection":[3,24,45,127,186],"learns":[4],"normative":[5,55,114,122,163],"patterns":[6,123],"from":[7,72],"normal":[8,150],"behavior":[9,15,33,51,70,99,179],"and":[10,80,124,147],"assumes":[11],"that":[12,66],"unforeseen":[13],"anomalous":[14,98,195],"will":[16],"result":[17],"in":[18,25,30,34,59,176,180,193],"significant":[19],"prediction":[20],"deviations.":[21],"However,":[22],"specific":[26],"situations":[27],"faces":[28],"challenges":[29],"detecting":[31,177,194],"ambiguous":[32,50,129,178],"which":[35],"the":[36,67,73,76,105,110,113,119,126,134,143,160,184],"abnormal":[37,185],"representation":[38,120],"is":[39,156],"not":[40],"particularly":[41],"intuitive.":[42],"Existing":[43],"approaches":[46],"perform":[47],"poorly":[48],"for":[49],"due":[52],"to":[53,96,117,141,148,158],"limited":[54],"representational":[56],"capacity,":[57],"resulting":[58],"a":[60,88,167],"narrow":[61],"normality":[62,174],"gap.":[63],"We":[64],"observe":[65],"ambiguity":[68],"of":[69,78,112,121,128,162],"comes":[71],"contradiction":[74],"between":[75],"properties":[77],"appearance":[79],"motion":[81],"modalities.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86,108,132],"propose":[87],"novel":[89],"memory-guided":[90],"autoencoder":[91,95],"named":[92],"appearance-motion":[93,115,145,164],"synergy":[94,111],"detect":[97],"by":[100],"event":[101],"prediction.":[102],"To":[103],"address":[104],"above":[106],"challenge,":[107],"leverage":[109],"modalities":[116],"strengthen":[118],"improve":[125],"behavior.":[130,196],"Specifically,":[131],"design":[133],"memory":[135],"networks":[136],"with":[137],"dynamic":[138],"fusion":[139],"mechanisms":[140],"integrate":[142],"correlated":[144],"information":[146],"remember":[149],"patterns.":[151],"A":[152,172],"consistency":[153,161],"measurement":[154,170],"unit":[155],"designed":[157],"optimize":[159],"features":[165],"via":[166],"joint":[168],"distribution":[169],"pool.":[171],"larger":[173],"gap":[175],"our":[181,191],"approach":[182],"enhances":[183],"capability.":[187],"Extensive":[188],"experiments":[189],"demonstrate":[190],"superiority":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":12}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
