Machine learning for anomaly detection: A systematic review
Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …
components from data. Many techniques have been used to detect anomalies. One of the …
[HTML][HTML] Anomaly detection using edge computing in video surveillance system
DR Patrikar, MR Parate - International Journal of Multimedia Information …, 2022 - Springer
The current concept of smart cities influences urban planners and researchers to provide
modern, secured and sustainable infrastructure and gives a decent quality of life to its …
modern, secured and sustainable infrastructure and gives a decent quality of life to its …
Learning regularity in skeleton trajectories for anomaly detection in videos
Appearance features have been widely used in video anomaly detection even though they
contain complex entangled factors. We propose a new method to model the normal patterns …
contain complex entangled factors. We propose a new method to model the normal patterns …
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes
The detection of abnormal behaviour in crowded scenes has to deal with many challenges.
This paper presents an efficient method for detection and localization of anomalies in …
This paper presents an efficient method for detection and localization of anomalies in …
Detecting coherent groups in crowd scenes by multiview clustering
Detecting coherent groups is fundamentally important for crowd behavior analysis. In the
past few decades, plenty of works have been conducted on this topic, but most of them have …
past few decades, plenty of works have been conducted on this topic, but most of them have …
A study of deep convolutional auto-encoders for anomaly detection in videos
The detection of anomalous behaviors in automated video surveillance is a recurrent topic in
recent computer vision research. Depending on the application field, anomalies can present …
recent computer vision research. Depending on the application field, anomalies can present …
A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance
K Rezaee, SM Rezakhani, MR Khosravi… - Personal and Ubiquitous …, 2024 - Springer
Fast and automated recognizing of abnormal behaviors in crowded scenes is significantly
effective in increasing public security. The traditional procedure of recognizing abnormalities …
effective in increasing public security. The traditional procedure of recognizing abnormalities …
Pixel-wise crowd understanding via synthetic data
Crowd analysis via computer vision techniques is an important topic in the field of video
surveillance, which has wide-spread applications including crowd monitoring, public safety …
surveillance, which has wide-spread applications including crowd monitoring, public safety …
Deep-cascade: Cascading 3d deep neural networks for fast anomaly detection and localization in crowded scenes
This paper proposes a fast and reliable method for anomaly detection and localization in
video data showing crowded scenes. Time-efficient anomaly localization is an ongoing …
video data showing crowded scenes. Time-efficient anomaly localization is an ongoing …
Anomaly detection in road traffic using visual surveillance: A survey
Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …
applications replacing human supervision. Timely detection of traffic violations and …