Real-time anomaly detection and localization in crowded scenes

Keywords

Anomaly detection, Computer science, Artificial intelligence, Anomaly (physics), Computer vision

References

• Video Anomaly Search in Crowded Scenes via Spatio-Temporal Motion ContextYang Cong, Junsong Yuan, Yandong Tang — 2013
• Anomaly Detection and Localization in Crowded ScenesWeixin Li, Vijay Mahadevan, Nuno Vasconcelos — 2014
• Semi-supervised Learning of Feature Hierarchies for Object Detection in a VideoYang Yang, Guang Shu, Mubarak Shah — 2013
• Multi-scale and real-time non-parametric approach for anomaly detection and localizationMarco Bertini, Alberto Del Bimbo, Lorenzo Seidenari — 2012
• Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contextsDan Xu, Rui Song, Xinyu Wu — 2014
• Sparse reconstruction cost for abnormal event detectionYang Cong, Junsong Yuan, Ji Liu — 2011
• Extracting and composing robust features with denoising autoencodersPascal Vincent, Hugo Larochelle, Yoshua Bengio — 2008
• Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenesShandong Wu, Brian E. Moore, Mubarak Shah — 2010
• Semi-supervised adapted HMMs for unusual event detectionDong Zhang, Daniel Gática-Pérez, Samy Bengio — 2005
• Video anomaly detection based on local statistical aggregatesVenkatesh Saligrama, Chen Zhu — 2012
• On the Mathematical Properties of the Structural Similarity IndexDominique Brunet, Edward R. Vrscay, Zhou Wang — 2012
• Unsupervised Activity Perception by Hierarchical Bayesian ModelsXiaogang Wang, Xiaoxu Ma, Eric Grimson — 2007
• Anomaly detection in crowded scenesVijay Mahadevan, Weixin Li, Viral Bhalodia — 2010
• Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern modelsLouis Kratz, Ko Nishino — 2009
• Anomalous video event detection using spatiotemporal contextFan Jiang, Junsong Yuan, Sotirios A. Tsaftaris — 2011
• Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updatesJaechul Kim, Kristen Grauman — 2009
• Abnormal Event Detection at 150 FPS in MATLABCewu Lu, Jianping Shi, Jiaya Jia — 2013
• Robust Real-Time Unusual Event Detection using Multiple Fixed-Location MonitorsAmit Adam, Ehud Rivlin, Ilan Shimshoni — 2008
• Abnormal crowd behavior detection using social force modelRamin Mehran, Alexis Oyama, Mubarak Shah — 2009
• An on-line, real-time learning method for detecting anomalies in videos using spatio-temporal compositionsMehrsan Javan, Martin D. Levine — 2013

Cited by

• Real-Time Anomalous Behavior Detection and Localization in Crowded ScenesMohammad Sabokrou, Mahmood Fathy, Mojtaba Hosseini — 2015
• Video anomaly detection and localisation based on the sparsity and reconstruction error of auto-encoderMohammad Sabokrou, Mahmood Fathy, Mohsen Hoseini — 2016
• Learning Temporal Regularity in Video SequencesMahmudul Hasan, Jonghyun Choi, Jan Neumann — 2016
• Evaluation schemes for video and image anomaly detection algorithmsShibin Parameswaran, Josh Harguess, Christopher Barngrover — 2016
• A novel approach for website aesthetic evaluation based on convolutional neural networksMasoud Ganj Khani, Mohammad Mazinani, Mohsen Fayyaz — 2016
• STFCN: Spatio-Temporal FCN for Semantic Video SegmentationMohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou — 2016
• Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded ScenesMohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy — 2017
• Detection and localization of crowd behavior using a novel tracklet-based modelHamidreza Rabiee, Hossein Mousavi, Moin Nabi — 2017
• Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenesMohammad Sabokrou, Mohsen Fayyaz, Mahmood Fathy — 2016
• Dynamic video anomaly detection and localization using sparse denoising autoencodersMedhini Narasimhan, S. Sowmya Kamath — 2018
• Anomaly detection using improved background subtractionYunus Can Bilge, Fikret Kaya, Nazlı İk̇izler Ċinḃiş — 2017
• Energy-based Models for Video Anomaly DetectionHung Vu, Dinh Phung, Tu Dinh Nguyen — 2017
• Fast and accurate detection and localization of abnormal behavior in crowded scenesMohammad Sabokrou, Mahmood Fathy, Zahra Moayed — 2017
• Anomaly detection based on maximum a posterioriShifeng Li, Chunxiao Liu, Yuqiang Yang — 2017
• Joint Detection and Recounting of Abnormal Events by Learning Deep Generic KnowledgeRyota Hinami, Tao Mei, Shin’ichi Satoh — 2017
• Learning Multimodal Deep Representations for Crowd Anomaly Event DetectionShaonian Huang, Dongjun Huang, Xinmin Zhou — 2018
• Adversarially Learned One-Class Classifier for Novelty DetectionMohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy — 2018
• Anomaly Detection Based on Stacked Sparse Coding With Intraframe Classification StrategyKe Xu, Xinghao Jiang, Tanfeng Sun — 2018
• Anomaly Detection in Crowded Scenes Using Log-Euclidean Covariance MatrixEfsun Sefa Sezer, Ahmet Burak Can — 2018
• Abnormal event detection in crowded scenes using one-class SVMSomaieh Amraee, Abbas Vafaei, Kamal Jamshidi — 2018

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