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Anomaly detection in video is a challenging computer vision problem.
Robust Real-Time Unusual Event Detection Using Multiple Fixed-Location Monitors
Amit Adam, Ehud Rivlin, Ilan Shimshoni, and Daviv Reinitz · 2008
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Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates
Jaechul Kim and Kristen Grauman · 2009
Earlier work this paper cites.
Abnormal crowd behavior detection using social force model
Ramin Mehran, Alexis Oyama, and Mubarak Shah · 2009
Earlier work this paper cites.
Anomaly Detection in Crowded Scenes
Vijay Mahadevan, Wei-Xin LI, Viral Bhalodia, and Nuno Vasconcelos · 2010
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Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes
Shandong Wu, Brian E. Moore, and Mubarak Shah · 2010
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Video parsing for abnormality detection
Borislav Antic and Bjorn Ommer · 2011
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Sparse reconstruction cost for abnormal event detection
Y. Cong, J. Yuan, and J. Liu · 2011
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Video anomaly detection based on local statistical aggregates
Venkatesh Saligrama and Zhu Chen · 2012
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Abnormal event detection in crowded scenes using sparse representation
Yang Cong, Junsong Yuan, and Ji Liu · 2013
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Abnormal Event Detection at 150 FPS in MATLAB
C. Lu, J. Shi, and J. Jia · 2013
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Anomaly detection and localization in crowded scenes
Weixin Li, Vijay Mahadevan, and Nuno Vasconcelos · 2014
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Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Video anomaly detection and localization using hierarchical feature representation and Gaussian process regression
Kai-Wen Cheng, Yie-Tarng Chen, and Wen-Hsien Fang · 2015
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Online Detection of Abnormal Events Using Incremental Coding Length
Jayanta K. Dutta and Bonny Banerjee · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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ImageNet Large Scale Visual Recognition Challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, Karpathy A., A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu, Elisa Ricci, Yan Yan, Jingkuan Song, and Nicu Sebe · 2015
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A Discriminative Framework for Anomaly Detection in Large Videos
Allison Del Giorno, J. Andrew Bagnell, and Martial Hebert · 2016
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Learning temporal regularity in video sequences
Mahmudul Hasan, Jonghyun Choi, Jan Neumann, Amit K. Roy-Chowdhury, and Larry S. Davis · 2016
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Video anomaly detection based on locality sensitive hashing filters
Ying Zhang, Huchuan Lu, Lihe Zhang, Xiang Ruan, and Shun Sakai · 2016
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Learning deep event models for crowd anomaly detection
Yachuang Feng, Yuan Yuan, and Xiaoqiang Lu · 2017
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Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami, Tao Mei, and Shin’ichi Satoh · 2017
Cited alongside, same era.
Unmasking the abnormal events in video
Radu Tudor Ionescu, Sorina Smeureanu, Bogdan Alexe, and Marius Popescu · 2017
Cited alongside, same era.
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
Weixin Luo, Wen Liu, and Shenghua Gao · 2017
Cited alongside, same era.
Abnormal Event Detection in Videos using Generative Adversarial Nets
Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo Regazzoni, and Nicu Sebe · 2017
Cited alongside, same era.
Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes
Mohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy, and Reinhard Klette · 2017
Cited alongside, same era.
Deep Appearance Features for Abnormal Behavior Detection in Video
Anomaly detection in video sequence with appearance-motion correspondence
Trong-Nguyen Nguyen and Jean Meunier · 2019
Later among the works it cites.
Robust Anomaly Detection in Videos Using Multilevel Representations
Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, and Dinh Phung · 2019
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A Deep One-Class Neural Network for Anomalous Event Detection in Complex Scenes
Peng Wu, Jing Liu, and Fang Shen · 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
Later among the works it cites.
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger · 2020
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Sorina Smeureanu, Radu Tudor Ionescu, Marius Popescu, and Bogdan Alexe · 2017
Cited alongside, same era.
Online growing neural gas for anomaly detection in changing surveillance scenes
Qianru Sun, Hong Liu, and Tatsuya Harada · 2017
Cited alongside, same era.
Anomaly Detection using a Convolutional Winner-Take-All Autoencoder
Hanh T.M. Tran and David Hogg · 2017
Cited alongside, same era.
Detecting Anomalous Events in Videos by Learning Deep Representations of Appearance and Motion
Dan Xu, Yan Yan, Elisa Ricci, and Nicu Sebe · 2017
Cited alongside, same era.
STAN: Spatio-temporal adversarial networks for abnormal event detection
Sangmin Lee, Hak Gu Kim, and Yong Man Ro · 2018
Cited alongside, same era.
Future Frame Prediction for Anomaly Detection – A New Baseline
Wen Liu, Weixin Luo, Dongze Lian, and Shenghua Gao · 2018
Cited alongside, same era.
Classifier Two-Sample Test for Video Anomaly Detections
Yusha Liu, Chun-Liang Li, and Barnabaás Póczos · 2018
Cited alongside, same era.
Fei Dong, Yu Zhang, and Xiushan Nie · 2020
Closest in time.
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Keval Doshi and Yasin Yilmaz · 2020
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Continual Learning for Anomaly Detection in Surveillance Videos
Keval Doshi and Yasin Yilmaz · 2020
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TAM-Net: Temporal Enhanced Appearance-to-Motion Generative Network for Video Anomaly Detection
Xiangli Ji, Bairong Li, and Yuesheng Zhu · 2020
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Few-Shot Scene-Adaptive Anomaly Detection
Yiwei Lu, Frank Yu, Mahesh Kumar, Krishna Reddy, and Yang Wang · 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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Street Scene: A new dataset and evaluation protocol for video anomaly detection
Bharathkumar Ramachandra and Michael Jones · 2020
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Learning a distance function with a Siamese network to localize anomalies in videos
Bharathkumar Ramachandra, Michael Jones, and Ranga Vatsavai · 2020
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A Survey of Single-Scene Video Anomaly Detection
Bharathkumar Ramachandra, Michael J. Jones, and Ranga Raju Vatsavai · 2020
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Scene-Aware Context Reasoning for Unsupervised Abnormal Event Detection in Videos
Che Sun, Yunde Jia, Yao Hu, and Yuwei Wu · 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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Cluster Attention Contrast for Video Anomaly Detection
Ziming Wang, Yuexian Zou, and Zeming Zhang · 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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Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
Muhammad Zaigham Zaheer, Jin-ha Lee, Marcella Astrid, and Seung-Ik Lee · 2020
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Video Anomaly Detection and Localization using Motion-field Shape Description and Homogeneity Testing
Xinfeng Zhang, Su Yang, Jiulong Zhang, and Weishan Zhang · 2020
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