An On-Line and Adaptive Method for Detecting Abnormal Events in Videos Using Spatio-Temporal ConvNet

Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes

(2018) Mohammad Sabokrou et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

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

(2017) Mohammad Sabokrou et al.   MACHINE VISION AND APPLICATIONS

Deep learning for finance: deep portfolios

(2016) J. B. Heaton et al.   APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

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

(2016) M. Sabokrou et al.   ELECTRONICS LETTERS

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

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Robust Biometric Recognition From Palm Depth Images for Gloved Hands

(2015) Binh P. Nguyen et al.   IEEE Transactions on Human-Machine Systems

Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram

(2014) Tian Wang et al.   IEEE Transactions on Information Forensics and Security

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

Anomaly Detection and Localization in Crowded Scenes

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

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

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

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

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