{"id":"https://openalex.org/W2982875523","doi":"https://doi.org/10.1109/tmm.2019.2950530","title":"Learning Normal Patterns via Adversarial Attention-Based Autoencoder for Abnormal Event Detection in Videos","display_name":"Learning Normal Patterns via Adversarial Attention-Based Autoencoder for Abnormal Event Detection in Videos","publication_year":2019,"publication_date":"2019-11-06","ids":{"openalex":"https://openalex.org/W2982875523","doi":"https://doi.org/10.1109/tmm.2019.2950530","mag":"2982875523"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2019.2950530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2950530","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5101502006","display_name":"Hao Song","orcid":"https://orcid.org/0000-0002-8917-3316"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Song","raw_affiliation_strings":["Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027527378","display_name":"Che Sun","orcid":"https://orcid.org/0000-0002-7555-9146"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Che Sun","raw_affiliation_strings":["Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011070646","display_name":"Xinxiao Wu","orcid":"https://orcid.org/0000-0002-2056-6947"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxiao Wu","raw_affiliation_strings":["Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062531812","display_name":"Mei Chen","orcid":"https://orcid.org/0000-0001-9234-2515"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mei Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, State University of New York at Albany, Albany, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State University of New York at Albany, Albany, USA","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731042","display_name":"Yunde Jia","orcid":"https://orcid.org/0000-0003-1900-8945"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunde Jia","raw_affiliation_strings":["Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101502006"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":4.9143,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.96162022,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"22","issue":"8","first_page":"2138","last_page":"2148"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9434999823570251,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9362000226974487,"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/autoencoder","display_name":"Autoencoder","score":0.9839369654655457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8581384420394897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.722119927406311},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7214316725730896},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6582467555999756},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6132075786590576},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5491632223129272},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5314145684242249},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49442481994628906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43031519651412964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1104537844657898}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9839369654655457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8581384420394897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.722119927406311},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7214316725730896},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6582467555999756},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6132075786590576},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5491632223129272},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5314145684242249},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49442481994628906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43031519651412964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1104537844657898},{"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/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/tmm.2019.2950530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2950530","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4454715294","display_name":null,"funder_award_id":"61673062","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1492261040","https://openalex.org/W1686810756","https://openalex.org/W1967456674","https://openalex.org/W1987463078","https://openalex.org/W1991597092","https://openalex.org/W2004149082","https://openalex.org/W2021659075","https://openalex.org/W2022199461","https://openalex.org/W2041390734","https://openalex.org/W2055846239","https://openalex.org/W2064675550","https://openalex.org/W2079023123","https://openalex.org/W2095640719","https://openalex.org/W2097117768","https://openalex.org/W2097363716","https://openalex.org/W2099471712","https://openalex.org/W2108883382","https://openalex.org/W2110383222","https://openalex.org/W2110798204","https://openalex.org/W2110934250","https://openalex.org/W2116435618","https://openalex.org/W2122361470","https://openalex.org/W2138092272","https://openalex.org/W2163605009","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2164489414","https://openalex.org/W2169818142","https://openalex.org/W2170932168","https://openalex.org/W2175030374","https://openalex.org/W2254513182","https://openalex.org/W2271840356","https://openalex.org/W2273472643","https://openalex.org/W2341058432","https://openalex.org/W2460849547","https://openalex.org/W2460852148","https://openalex.org/W2511325638","https://openalex.org/W2519730330","https://openalex.org/W2523332653","https://openalex.org/W2524188269","https://openalex.org/W2526027614","https://openalex.org/W2540481276","https://openalex.org/W2559927751","https://openalex.org/W2579718262","https://openalex.org/W2581637843","https://openalex.org/W2591619575","https://openalex.org/W2592101326","https://openalex.org/W2601324753","https://openalex.org/W2618530766","https://openalex.org/W2716916105","https://openalex.org/W2736334449","https://openalex.org/W2753526808","https://openalex.org/W2767514117","https://openalex.org/W2777342313","https://openalex.org/W2779866983","https://openalex.org/W2790413099","https://openalex.org/W2800438594","https://openalex.org/W2804867909","https://openalex.org/W2808699053","https://openalex.org/W2897879219","https://openalex.org/W2949864127","https://openalex.org/W2963061824","https://openalex.org/W2963444790","https://openalex.org/W2963610939","https://openalex.org/W2963795951","https://openalex.org/W2963899855","https://openalex.org/W3020935318","https://openalex.org/W3124951096","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6676481782","https://openalex.org/W6685316221","https://openalex.org/W6691489322","https://openalex.org/W6694357293","https://openalex.org/W6694517276","https://openalex.org/W6730548322","https://openalex.org/W6734373134","https://openalex.org/W6735368890"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W2368824897","https://openalex.org/W3088732000","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976"],"abstract_inverted_index":{"Automatically":[0],"detecting":[1],"anomalies":[2],"in":[3,38],"videos":[4,39],"is":[5,96,134],"a":[6,92],"challenging":[7,148],"problem":[8],"due":[9],"to":[10,34,76,98,121,136],"non-deterministic":[11],"definitions":[12],"of":[13,18,104,126,166],"abnormal":[14],"events":[15,44],"and":[16,91,159],"lack":[17],"sufficient":[19],"training":[20],"data.":[21],"To":[22,62,107],"address":[23],"these":[24],"issues,":[25],"we":[26,65,113],"propose":[27],"an":[28,67,88,115],"autoencoder":[29,72,89],"coupled":[30],"with":[31,54],"attention":[32,116],"model":[33,94,117],"discover":[35],"normal":[36,52,143],"patterns":[37,53],"via":[40],"adversarial":[41,70],"learning.":[42],"Abnormal":[43],"are":[45],"detected":[46],"by":[47,59],"diverging":[48],"them":[49],"from":[50,82],"the":[51,55,60,78,101,105,110,119,151,153,156,160,164,167],"reconstruction":[56,102,111],"error":[57],"produced":[58],"autoencoder.":[61,106],"this":[63],"end,":[64],"build":[66],"end-to-end":[68],"trainable":[69],"attention-based":[71],"network,":[73],"called":[74],"Ada-Net,":[75],"make":[77],"reconstructed":[79],"frames":[80],"indistinguishable":[81],"original":[83],"frames.":[84],"The":[85,131],"Ada-Net":[86],"combines":[87],"network":[90],"GAN":[93],"that":[95],"used":[97],"benefit":[99],"enhancing":[100],"ability":[103],"further":[108],"improve":[109],"performance,":[112],"integrate":[114],"into":[118],"decoder":[120],"dynamically":[122],"select":[123],"informative":[124],"parts":[125],"encoding":[127],"features":[128],"for":[129,140],"decoding.":[130],"attenion":[132],"mechanism":[133],"helpful":[135],"preserving":[137],"important":[138],"information":[139],"learning":[141],"intrinsic":[142],"patterns.":[144],"Evaluations":[145],"on":[146],"four":[147],"datasets,":[149,162],"including":[150],"Subway,":[152],"UCSD":[154],"Pedestrian,":[155],"CUHK":[157],"Avenue,":[158],"ShanghaiTech":[161],"demonstrate":[163],"effectiveness":[165],"proposed":[168],"method.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
