Traffic Anomaly Detection via Perspective Map based on Spatial-temporal Information Matrix
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Wei Wu | Yu Lei | Junjie Yan | Ming Sun | Shuai Bai | Zhiqun He | Chengkai Zhu | Junjie Yan | Wei Wu | Zhiqun He | Y. Lei | Shuai Bai | Ming Sun | C. Zhu
[1] Xiaogang Wang,et al. Cross-scene crowd counting via deep convolutional neural networks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Yong Haur Tay,et al. Abnormal Event Detection in Videos using Spatiotemporal Autoencoder , 2017, ISNN.
[3] Yi Li,et al. Deformable Convolutional Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Shenghua Gao,et al. A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[5] Nuno Vasconcelos,et al. Anomaly detection in crowded scenes , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[6] Nicu Sebe,et al. Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds , 2017, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).
[7] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[8] Junsong Yuan,et al. Sparse reconstruction cost for abnormal event detection , 2011, CVPR 2011.
[9] VARUN CHANDOLA,et al. Outlier Detection : A Survey , 2007 .
[10] Cewu Lu,et al. Abnormal Event Detection at 150 FPS in MATLAB , 2013, 2013 IEEE International Conference on Computer Vision.
[11] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[12] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Yu Cheng,et al. Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[14] Thierry Chateau,et al. Learning of binocular fixations using anomaly detection with deep reinforcement learning , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[15] Alessandro Perina,et al. Angry Crowds: Detecting Violent Events in Videos , 2016, ECCV.
[16] Dit-Yan Yeung,et al. Spatiotemporal Modeling for Crowd Counting in Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[17] Christopher Leckie,et al. High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning , 2016, Pattern Recognit..
[18] Brian Litt,et al. Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets , 2010, 2010 Ninth International Conference on Machine Learning and Applications.
[19] Mubarak Shah,et al. Real-World Anomaly Detection in Surveillance Videos , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Yuan Zuo,et al. Towards Experienced Anomaly Detector Through Reinforcement Learning , 2018, AAAI.
[21] Sanjay Chawla,et al. Deep Learning for Anomaly Detection: A Survey , 2019, ArXiv.
[22] Yanyun Zhao,et al. Unsupervised Anomaly Detection for Traffic Surveillance Based on Background Modeling , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[23] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Qinghua Hu,et al. Vision Meets Drones: A Challenge , 2018, ArXiv.
[25] Aidong Men,et al. A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data , 2017, Comput. Intell. Neurosci..
[26] Jenq-Neng Hwang,et al. The 2018 NVIDIA AI City Challenge , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[27] See-Kiong Ng,et al. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series , 2018, ArXiv.
[28] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Abhinav Gupta,et al. Training Region-Based Object Detectors with Online Hard Example Mining , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Massimo Piccardi,et al. An Investigation of Recurrent Neural Architectures for Drug Name Recognition , 2016, Louhi@EMNLP.