A deep learning approach for anomaly detection in large-scale Hajj crowds

Hybrid Classifiers for Spatio-Temporal Abnormal Behavior Detection, Tracking, and Recognition in Massive Hajj Crowds

(2023) Tarik Alafif et al.   Electronics

Crowd Anomaly Detection via Spatial Constraints and Meaningful Perturbation

(2022) Jiangfan Feng et al.   ISPRS International Journal of Geo-Information

Incremental Rotation Averaging

(2021) Xiang Gao et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Bridge health anomaly detection using deep support vector data description

(2021) JianXi Yang et al.   NEUROCOMPUTING

Learning to Detect Anomaly Events in Crowd Scenes from Synthetic Data

(2021) Wei Lin et al.   NEUROCOMPUTING

Abnormal behavior recognition using 3D-CNN combined with LSTM

(2021) Yepeng Guan et al.   MULTIMEDIA TOOLS AND APPLICATIONS

An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos

(2021) Waseem Ullah et al.   SENSORS

Intelligent video anomaly detection and classification using faster RCNN with deep reinforcement learning model

(2021) Romany F. Mansour et al.   IMAGE AND VISION COMPUTING

Real-Time Surveillance System for Analyzing Abnormal Behavior of Pedestrians

(2021) Dohun Kim et al.   Applied Sciences-Basel

Generative adversarial network based abnormal behavior detection in massive crowd videos: a Hajj case study

(2021) Tarik Alafif et al.   Journal of Ambient Intelligence and Humanized Computing

Abnormal Activity Recognition from Surveillance Videos Using Convolutional Neural Network

(2021) Shabana Habib et al.   SENSORS

Hajj pilgrimage video analytics using CNN

(2021) Md Roman Bhuiyan et al.   Bulletin of Electrical Engineering and Informatics

Anomaly detection of defects on concrete structures with the convolutional autoencoder

(2020) J.K. Chow et al.   ADVANCED ENGINEERING INFORMATICS

A new method of abnormal behavior detection using LSTM network with temporal attention mechanism

(2020) Limin Xia et al.   JOURNAL OF SUPERCOMPUTING

Residual spatiotemporal autoencoder for unsupervised video anomaly detection

(2020) K. Deepak et al.   Signal Image and Video Processing

Anomaly detection in particulate matter sensor using hypothesis pruning generative adversarial network

(2020) YeongHyeon Park et al.   ETRI JOURNAL

Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learning

(2020) Ang Li et al.   PATTERN RECOGNITION

Omni SCADA Intrusion Detection Using Deep Learning Algorithms

(2020) Jun Gao et al.   IEEE Internet of Things Journal

HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture

(2019) Xinwei Zhang et al.   INFORMATION SCIENCES

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network

(2019) Fath U Min Ullah et al.   SENSORS

Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study

(2019) Mikel Canizo et al.   NEUROCOMPUTING

A hybrid deep learning model for efficient intrusion detection in big data environment

(2019) Mohammad Mehedi Hassan et al.   INFORMATION SCIENCES

Depth-map completion for large indoor scene reconstruction

(2019) Hongmin Liu et al.   PATTERN RECOGNITION

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

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

Deep convolutional framework for abnormal behavior detection in a smart surveillance system

(2018) Kwang-Eun Ko et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Residual Error Based Anomaly Detection Using Auto-Encoder in SMD Machine Sound

(2018) Dong Oh et al.   SENSORS

Computer vision and deep learning–based data anomaly detection method for structural health monitoring

(2018) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Fast Adaptive RNN Encoder–Decoder for Anomaly Detection in SMD Assembly Machine

(2018) YeongHyeon Park et al.   SENSORS

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

Employing pedestrian observations in engineering analysis

(2011) A.A. Siddiqui et al.   SAFETY SCIENCE