{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T16:48:21Z","timestamp":1787935701184,"version":"build-2784847793"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"General Program of National Natural Science Foundation of China NSFC","award":["61773300"],"award-info":[{"award-number":["61773300"]}]},{"name":"Key Program of Fundamental Research Project of Natural Science of Shaanxi Province China","award":["2017JZ017"],"award-info":[{"award-number":["2017JZ017"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/tnnls.2019.2933554","type":"journal-article","created":{"date-parts":[[2019,9,5]],"date-time":"2019-09-05T19:49:36Z","timestamp":1567712976000},"page":"1-14","source":"Crossref","is-referenced-by-count":104,"title":["A Deep One-Class Neural Network for Anomalous Event Detection in Complex Scenes"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2938-6798","authenticated-orcid":false,"given":"Peng","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6834-5350","authenticated-orcid":false,"given":"Jing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2816021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.06.016"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.09.016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1515\/9781400874668"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/NCVPRIPG.2013.6776164"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2695105"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2435783"},{"key":"ref36","article-title":"TensorFlow: Large-scale machine learning on heterogeneous distributed systems","author":"abadi","year":"2016","journal-title":"arXiv 1603 04467"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(91)90009-T"},{"key":"ref34","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","author":"xie","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref27","first-page":"1","article-title":"Deep multi-scale video prediction beyond mean square error","author":"mathieu","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539872"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.86"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2016.10.010"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206771"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995524"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70825"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.11.018"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.338"},{"key":"ref26","first-page":"582","article-title":"Support vector method for novelty detection","author":"sch\u00f6lkopf","year":"1999","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref25","first-page":"214","article-title":"A duality based approach for realtime TV-L1 optical flow","author":"zach","year":"2007","journal-title":"Proc Pattern Recognition Symp"},{"key":"ref50","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2329534"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2018.2884486"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging4060079"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8297069"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2740318"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref54","first-page":"1","article-title":"Detecting abnormal events in video using narrowed motion clusters","author":"ionescu","year":"2019","journal-title":"Proc Winter Conf Appl Comput Vis"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68548-9_70"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2737941"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00684"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref16","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.352"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206641"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(99)00087-2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995434"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref8","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/TPAMI.2013.111","article-title":"Anomaly detection and localization in crowded scenes","volume":"36","author":"li","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref9","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00356"},{"key":"ref45","first-page":"1","article-title":"Deep autoencoding Gaussian mixture model for unsupervised anomaly detection","author":"zong","year":"2018","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref48","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref47","article-title":"Learning deep features for one-class classification","author":"perera","year":"2018","journal-title":"arXiv 1801 05365"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.45"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00678"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.315"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019325"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/6104215\/08825555.pdf?arnumber=8825555","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:19:33Z","timestamp":1651079973000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8825555\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/tnnls.2019.2933554","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}