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Video anomaly detection is a challenging task because of diverse abnormal events.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
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Semi-supervised adapted hmms for unusual event detection
Dong Zhang, D. Gatica-Perez, S. Bengio, and I. McCowan · 2005
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Robust real-time unusual event detection using multiple fixed-location monitors
A. Adam, E. Rivlin, I. Shimshoni, and D. Reinitz · 2008
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Observe locally, infer globally: A space-time mrf for detecting abnormal activities with incremental updates
J. Kim and K. Grauman · 2009
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Anomaly detection in crowded scenes
V. Mahadevan, Weixin Li, Viral Bhalodia, and N. Vasconcelos · 2010
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Chaotic invariants of lagrangian particle trajectories for anomaly detection in crowded scenes
S. Wu, B. E. Moore, and M. Shah · 2010
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Sparse reconstruction cost for abnormal event detection
Yang Cong, Junsong Yuan, and J. Liu · 2011
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Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance
F. Tung, J. Zelek, and David A Clausi · 2011
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Online detection of unusual events in videos via dynamic sparse coding
B. Zhao, Li Fei-Fei, and E. Xing · 2011
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3d convolutional neural networks for human action recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2013
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Abnormal event detection at 150 fps in matlab
Cewu Lu, J. Shi, and J. Jia · 2013
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Anomaly detection and localization in crowded scenes
W. Li, V. Mahadevan, and N. Vasconcelos · 2014
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Flownet: Learning optical flow with convolutional networks
A. Dosovitskiy, P. Fischer, E. Ilg, P. Häusser, C. Hazırbaş, V. Golkov, P. v.d. Smagt, D. Cremers, and T. Brox · 2015
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Fast r-cnn
Ross Girshick · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
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Learning deep representations of appearance and motion for anomalous event detection
D. Xu, E. Ricci, Yan Yan, Jingkuan Song, and N. Sebe · 2015
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Learning temporal regularity in video sequences
M. Hasan, Jonghyun Choi, J. Neumann, A. Roy-Chowdhury, and L. Davis · 2016
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Online weighted clustering for real-time abnormal event detection in video surveillance
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford, and Ahmad Shahi · 2016
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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2017
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Abnormal event detection in videos using spatiotemporal autoencoder
Y. S. Chong and Yong Haur Tay · 2017
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Joint detection and recounting of abnormal events by learning deep generic knowledge
Ryota Hinami, T. Mei, and Shin’ichi Satoh · 2017
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Flownet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
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Disentangling propagation and generation for video prediction
H. Gao, Huazhe Xu, Qi-Zhi Cai, R. Wang, F. Yu, and T. Darrell · 2019
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Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection
Dong Gong, L. Liu, Vuong Le, Budhaditya Saha, M. Mansour, S. Venkatesh, and A. V. D. Hengel · 2019
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Object-centric auto-encoders and dummy anomalies for abnormal event detection in video
Radu Tudor Ionescu, Fahad Shahbaz Khan, Mariana-Iuliana Georgescu, and Ling Shao · 2019
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Margin learning embedded prediction for video anomaly detection with a few anomalies
Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, and Shenghua Gao · 2019
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Learning regularity in skeleton trajectories for anomaly detection in videos
Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, and Svetha Venkatesh · 2019
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Unmasking the abnormal events in video
Radu Tudor Ionescu, Sorina Smeureanu, B. Alexe, and M. Popescu · 2017
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Dual motion gan for future-flow embedded video prediction
Xiaodan Liang, L. Lee, Wei Dai, and E. Xing · 2017
Cited alongside, same era.
Remembering history with convolutional lstm for anomaly detection
Weixin Luo, W. Liu, and Shenghua Gao · 2017
Cited alongside, same era.
A revisit of sparse coding based anomaly detection in stacked rnn framework
Weixin Luo, W. Liu, and Shenghua Gao · 2017
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Abnormal event detection in videos using generative adversarial nets
Mahdyar Ravanbakhsh, Moin Nabi, E. Sangineto, L. Marcenaro, C. Regazzoni, and N. Sebe · 2017
Cited alongside, same era.
Detecting anomalous events in videos by learning deep representations of appearance and motion
D. Xu, Yan Yan, E. Ricci, and N. Sebe · 2017
Cited alongside, same era.
Spatio-temporal autoencoder for video anomaly detection
Yiru Zhao, Bing Deng, Chen Shen, Yao Liu, Hongtao Lu, and Xian-Sheng Hua · 2017
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Anomaly detection in video sequence with appearance-motion correspondence
T. Nguyen and J. Meunier · 2019
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Anopcn: Video anomaly detection via deep predictive coding network
Muchao Ye, Xiaojiang Peng, Weihao Gan, Wei Wu, and Yu Qiao · 2019
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Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection
Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, and Ge Li · 2019
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Anomalynet: An anomaly detection network for video surveillance
J. T. Zhou, J. Du, H. Zhu, X. Peng, Y. Liu, and R. S. M. Goh · 2019
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Clustering driven deep autoencoder for video anomaly detection
Yunpeng Chang, Zhigang Tu, Wei Xie, and Junsong Yuan · 2020
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Continual learning for anomaly detection in surveillance videos
Keval Doshi and Yasin Yilmaz · 2020
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Graph embedded pose clustering for anomaly detection
Amir Markovitz, Gilad Sharir, Itamar Friedman, Lihi Zelnik-Manor, and Shai Avidan · 2020
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Self-trained deep ordinal regression for end-to-end video anomaly detection
Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, and Xiao Bai · 2020
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Learning memory-guided normality for anomaly detection
Hyunjong Park, Jongyoun Noh, and Bumsub Ham · 2020
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Integrating prediction and reconstruction for anomaly detection
Yao Tang, Lin Zhao, Shanshan Zhang, Chen Gong, Guangyu Li, and Jian Yang · 2020
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Future video synthesis with object motion prediction
Yue Wu, Rongrong Gao, Jaesik Park, and Qifeng Chen · 2020
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Cloze test helps: Effective video anomaly detection via learning to complete video events
Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, and Marius Kloft · 2020
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Cloze test helps: Effective video anomaly detection via learning to complete video events
Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, and Marius Kloft · 2020
Later among the works it cites.