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| 1 | AED-Net:An Abnormal Event Detection Network显示文摘It has long been a challenging task to detect an anomaly in a crowded scene.In this paper,a selfsupervised framework called the abnormal event detection network(AED-Net),which is composed of a principal component analysis network(PCAnet)and kernel principal component analysis(kPCA),is proposed to address this problem.Using surveillance video sequences of different scenes as raw data,the PCAnet is trained to extract high-level semantics of the crowd’s situation.Next,kPCA,a one-class classifier,is trained to identify anomalies within the scene.In contrast to some prevailing deep learning methods,this framework is completely self-supervised because it utilizes only video sequences of a normal situation.Experiments in global and local abnormal event detection are carried out on Monitoring Human Activity dataset from University of Minnesota(UMN dataset)and Anomaly Detection dataset from University of California,San Diego(UCSD dataset),and competitive results that yield a better equal error rate(EER)and area under curve(AUC)than other state-of-the-art methods are observed.Furthermore,by adding a local response normalization(LRN)layer,we propose an improvement to the original AED-Net.The results demonstrate that this proposed version performs better by promoting the framework’s generalization capacity. | Tian Wang Zichen Miao Yuxin Chen Yi Zhou Guangcun Shan Hichem Snoussi | 2019 | Engineering2019，5，5： | 2 |
| 2 | Abnormal event detection via the analysis of multi-frame optical flow information显示文摘Security surveillance of public scene is closely relevant to routine safety of individual.Under the stimulus of this concern,abnormal event detection is becoming one of the most important tasks in computer vision and video processing.In this paper,we propose a new algorithm to address the visual abnormal detection problem.Our algorithm decouples the problem into a feature descriptor extraction process,followed by an AutoEncoder based network called cascade deep AutoEncoder(CDA).The movement information is represented by a novel descriptor capturing the multi-frame optical flow information.And then,the feature descriptor of the normal samples is fed into the CDA network for training.Finally,the abnormal samples are distinguished by the reconstruction error of the CDA in the testing procedure.We validate the proposed method on several video surveillance datasets. | Tian WANG Meina QIAO Aichun ZHU Guangcun SHAN Hichem SNOUSSI | 2020 | Frontiers of Computer Science2020，14，2： | 2 |
| 3 | Integrated coastal zone management programe northwest African region case显示文摘 | Aoul E H T | 2000 | Ocean & Coastal Management2000，43，： | 1 |
| 4 | Bayesian blind generalized hyperbolic processes in of and on separation noisy underdeterminate mixtures显示文摘 | Snoussi H Idler J | 2006 | IEEE Transactions Signal Processing2006，54，9： | 1 |
| 5 | Leptin and leptin receptor polymorphisms are associated with in- creased risk and poor prognosis of breast carcinoma 显示文摘 | Snoussi K Strosberg AD Bouaouina N | 2006 | BMC Cancer2006，6，： | 1 |
| 6 | Distributed variational filtering for simultaneous sensor localization and target tracking in wireless sensor networks 显示文摘 | JING Teng SNOUSSI H RICHARD C | 2012 | I EEE Trans on Vehicular Technolo- gy2012，61，5： | 1 |
| 7 | Interaction of parvovirus es with the nuclear envelope显示文摘 | Snoussi K Kann M | 2014 | Advances in Biological Regulation2014，54，： | 1 |
| 8 | Grain boundary effect on thβboron electrical transport properties at high pressure 显示文摘 | Li M Yang J Snoussi K | 2010 | Appl Phys Lett2010，97，17： | 1 |
| 9 | Genetic variation in pro-inflammatory cytokines(interleukin-1 beta,interleukin-1 alpha and interleukin-6 associated with the aggressive forms,survival,and relapse prediction of breast carcinoma显示文摘 | Snoussi K Strosberg AD Ben AS | 2005 | Eur Cytokine Netw2005，16，4： | 1 |
| 10 | Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram显示文摘 | Wang T Snoussi H | 2014 | IEEE Transac- tions on Information Forensics and Security2014，9，6： | 1 |
| 11 | Effects of static magnetic field on cell growth,viability,and differential gene expression in Salmonella显示文摘 | May A E Snoussi S Miloud N B | 2009 | Foodborne Pathogens and Disease2009，5，： | 1 |
| 12 | Assessment of the genetic diversity of the Tunisian citrus rootstock germplasm显示文摘 | SNOUSSI H DUVAL M F GARCIA-LOR A BELFALAH Z FROELICHER Y RISTERUCCI A M PERRIER X JACQUE-MOUD-COLLET J P NAVARRO L HARRABI M OLLITRAULT P | 2012 | BMC Genetics2012，13，： | 1 |
| 13 | Combined effects of IL-18 and CXCR2 gene polymorphisms on breast cancer susceptibility and aggressiveness显示文摘 | Snoussi K Mahfoudh W Bouaouina N | 2010 | BMC Cancer2010，12，10： | 1 |
| 14 | Distributed varied filtering for simultaneous sensor localization and target tracking in wireless sen-sor network 显示文摘 | Jing T Snoussi H Richard C | 2012 | IEEE Trans on Vehicular Technology2012，61，5： | 1 |
| 15 | Artemisia campestris phenolic compounds have antioxidant and antimicrobial activity显示文摘 | Wided Megdiche-Ksouri Najla Trabelsi Khaoula Mkadmini Soumaya Bourgou Amira Noumi Mejdi Snoussi Rahma Barbria Olfa Tebourbi Riadh Ksouri | 2015 | Industrial Crops & Products2015，，： | 1 |
| 16 | Prediction-Based Cluster Management for Target Tracking in Wireless Sensor Net- Works 显示文摘 | Jing Teng Hiehem Snoussi Cedric Richard | 2012 | Wireless Communications and Mobile Computing2012，，12： | 1 |
| 17 | Intrinsic mode entropy for nonlinear discriminant analysis显示文摘 | Amoud H Snoussi H Hewson D | 2007 | IEEE Signal Processing Lett2007，14，5： | 1 |
| 18 | Vulnerability assessment of the impact of sea-level rise and flooding on the Moroccan coast:The case of the Mediterranean eastern zone,Estuarine显示文摘 | Maria Snoussi Tachfine Ouchani Sada Niazi | 2008 | Coastal and Shelf Science2008，77，2： | 1 |
| 19 | Leptin and leptin receptor polymorphisms are associated with increased risk and poor prognosis of breast carcinoma显示文摘 | Snoussi K Strosberg AD Bouaouina N | 2006 | BMC Cancer2006，20，6： | 1 |
| 20 | 查看详情显示文摘 | Snoussi E H | | 0，，： | 1 |
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