Remembering history with convolutional LSTM for anomaly detection
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Shenghua Gao | Wen Liu | Weixin Luo | Shenghua Gao | Weixin Luo | Wen Liu
[1] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[2] Ehud Rivlin,et al. Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Marc'Aurelio Ranzato,et al. Video (language) modeling: a baseline for generative models of natural videos , 2014, ArXiv.
[4] Andrew Zisserman,et al. Convolutional Two-Stream Network Fusion for Video Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[6] Luc Van Gool,et al. An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector , 2008, ECCV.
[7] Samy Bengio,et al. Semi-supervised adapted HMMs for unusual event detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[8] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[9] Nicu Sebe,et al. Learning Deep Representations of Appearance and Motion for Anomalous Event Detection , 2015, BMVC.
[10] Dit-Yan Yeung,et al. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting , 2015, NIPS.
[11] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[12] Kejun Wang,et al. Video-Based Abnormal Human Behavior Recognition—A Review , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[13] Serge J. Belongie,et al. Behavior recognition via sparse spatio-temporal features , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.
[14] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[15] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] Cewu Lu,et al. Abnormal Event Detection at 150 FPS in MATLAB , 2013, 2013 IEEE International Conference on Computer Vision.
[17] Martial Hebert,et al. A Discriminative Framework for Anomaly Detection in Large Videos , 2016, ECCV.
[18] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[19] Fei-Fei Li,et al. Online detection of unusual events in videos via dynamic sparse coding , 2011, CVPR 2011.
[20] Jonghyun Choi,et al. Learning Temporal Regularity in Video Sequences , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Trevor Darrell,et al. Long-term recurrent convolutional networks for visual recognition and description , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Nuno Vasconcelos,et al. Anomaly detection in crowded scenes , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[24] Daniel Roggen,et al. Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition , 2016, Sensors.