Fast and accurate detection and localization of abnormal behavior in crowded scenes

Deep-Cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes

(2017) Mohammad Sabokrou et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Anomaly detection with a moving camera using spatio-temporal codebooks

(2017) Mateus T. Nakahata et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Anomaly detection via short local trajectories

(2017) Sovan Biswas et al.   NEUROCOMPUTING

Video anomaly detection and localisation based on the sparsity and reconstruction error of auto-encoder

(2016) M. Sabokrou et al.   ELECTRONICS LETTERS

Video anomaly detection using deep incremental slow feature analysis network

(2016) Xing Hu et al.   IET Computer Vision

Abnormal event detection in crowded scenes based on deep learning

(2016) Zhijun Fang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Spatial–temporal convolutional neural networks for anomaly detection and localization in crowded scenes

(2016) Shifu Zhou et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Learning to Detect Anomalies in Surveillance Video

(2015) Tan Xiao et al.   IEEE SIGNAL PROCESSING LETTERS

Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes

(2015) Dong-Gyu Lee et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Spatio-temporal context analysis within video volumes for anomalous-event detection and localization

(2015) Nannan Li et al.   NEUROCOMPUTING

Graph-Based Sensor Fusion for Classification of Transient Acoustic Signals

(2015) Umamahesh Srinivas et al.   IEEE Transactions on Cybernetics

Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts

(2014) Dan Xu et al.   NEUROCOMPUTING

An on-line, real-time learning method for detecting anomalies in videos using spatio-temporal compositions

(2013) Mehrsan Javan Roshtkhari et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Video Anomaly Search in Crowded Scenes via Spatio-Temporal Motion Context

(2013) Yang Cong et al.   IEEE Transactions on Information Forensics and Security

Anomaly Detection and Localization in Crowded Scenes

(2013) Weixin Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Detecting anomalies in people’s trajectories using spectral graph analysis

(2011) Simone Calderara et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Multi-scale and real-time non-parametric approach for anomaly detection and localization

(2011) Marco Bertini et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

On the Mathematical Properties of the Structural Similarity Index

(2011) D. Brunet et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Trajectory Learning for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach

(2011) B. T. Morris et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Anomalous video event detection using spatiotemporal context

(2010) Fan Jiang et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance

(2010) Frederick Tung et al.   IMAGE AND VISION COMPUTING

Detecting abnormal human behaviour using multiple cameras

(2009) Panagiota Antonakaki et al.   SIGNAL PROCESSING

Trajectory-Based Anomalous Event Detection

(2008) C. Piciarelli et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors

(2008) Amit Adam et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE