暂无分享,去创建一个
Hichem Snoussi | Yuxin Chen | Yi Zhou | Zichen Miao | Tian Wang | Guangcun Shan | Yuxin Chen | H. Snoussi | Zichen Miao | Guangcun Shan | Tian Wang | Yi Zhou
[1] Joachim Denzler,et al. One-class classification with Gaussian processes , 2013, Pattern Recognit..
[2] Gaurav Bhatnagar,et al. Discrete fractional wavelet transform and its application to multiple encryption , 2013, Inf. Sci..
[3] Pengtao Xie,et al. Strategies and Principles of Distributed Machine Learning on Big Data , 2015, ArXiv.
[4] Daksh Thapar,et al. VGR-net: A view invariant gait recognition network , 2017, 2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA).
[5] Qi Wang,et al. Online Anomaly Detection in Crowd Scenes via Structure Analysis , 2015, IEEE Transactions on Cybernetics.
[6] Hichem Snoussi,et al. Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram , 2014, IEEE Transactions on Information Forensics and Security.
[7] Mubarak Shah,et al. Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[8] Ming Zhu,et al. Abnormal event detection and localization in crowded scenes based on PCANet , 2016, Multimedia Tools and Applications.
[9] Rui Caseiro,et al. Exploiting the Circulant Structure of Tracking-by-Detection with Kernels , 2012, ECCV.
[10] Ramin Mehran,et al. Abnormal crowd behavior detection using social force model , 2009, CVPR.
[11] Hichem Snoussi,et al. Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets , 2017, IEEE Access.
[12] Jiri Matas,et al. P-N learning: Bootstrapping binary classifiers by structural constraints , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Moncef Gabbouj,et al. Sport Type Classification of Mobile Videos , 2014, IEEE Transactions on Multimedia.
[14] Hugo Jiménez-Hernández,et al. Detecting Abnormal Vehicular Dynamics at Intersections Based on an Unsupervised Learning Approach and a Stochastic Model , 2010, Sensors.
[15] Rongrong Ji,et al. Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[16] Cordelia Schmid,et al. Finding Actors and Actions in Movies , 2013, 2013 IEEE International Conference on Computer Vision.
[17] Christophe Rosenberger,et al. Abnormal events detection based on spatio-temporal co-occurences , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Shehzad Khalid,et al. Activity classification and anomaly detection using m-mediods based modelling of motion patterns , 2010, Pattern Recognit..
[19] Fei-Fei Li,et al. Online detection of unusual events in videos via dynamic sparse coding , 2011, CVPR 2011.
[20] Yunhe Pan,et al. Heading toward Artificial Intelligence 2.0 , 2016 .
[21] Nuno Vasconcelos,et al. Anomaly Detection and Localization in Crowded Scenes , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Berthold K. P. Horn,et al. Determining Optical Flow , 1981, Other Conferences.
[23] Hichem Snoussi,et al. A fast and robust convolutional neural network-based defect detection model in product quality control , 2017, The International Journal of Advanced Manufacturing Technology.
[24] Stephen J. Maybank,et al. Fusion of Multiple Tracking Algorithms for Robust People Tracking , 2002, ECCV.
[25] Nuno Vasconcelos,et al. Anomaly detection in crowded scenes , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[26] Tianzhu Zhang,et al. Learning semantic scene models by object classification and trajectory clustering , 2009, CVPR.
[27] Heiko Hoffmann,et al. Kernel PCA for novelty detection , 2007, Pattern Recognit..
[28] Ellen M. Markman,et al. Thinking in perspective: Critical essays in the study of thought processes. , 1979 .
[29] Shoab A. Khan,et al. Tracking and Abnormal Behavior Detection in Video Surveillance Using Optical Flow and Neural Networks , 2014, 2014 28th International Conference on Advanced Information Networking and Applications Workshops.
[30] Sotirios Chatzis,et al. Robust Visual Behavior Recognition , 2010, IEEE Signal Processing Magazine.
[31] W. Eric L. Grimson,et al. Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[32] Ehud Rivlin,et al. Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Hichem Snoussi,et al. Abnormal event detection via covariance matrix for optical flow based feature , 2018, Multimedia Tools and Applications.
[34] Xinge You,et al. A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks , 2010, IEEE Transactions on Image Processing.
[35] Junsong Yuan,et al. Sparse reconstruction cost for abnormal event detection , 2011, CVPR 2011.
[36] Xiaogang Wang,et al. A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Qingshan Liu,et al. Abnormal detection using interaction energy potentials , 2011, CVPR 2011.
[38] Jiwen Lu,et al. PCANet: A Simple Deep Learning Baseline for Image Classification? , 2014, IEEE Transactions on Image Processing.
[39] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[40] Venkatesh Saligrama,et al. Abnormality detection using low-level co-occurring events , 2011, Pattern Recognit. Lett..
[41] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[42] Lei Zhang,et al. Fast Compressive Tracking , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.