Crowd anomaly detection with LSTMs using optical features and domain knowledge for improved inferring
M Sabih, DK Vishwakarma - The visual computer, 2022 - Springer
With the increasing population, the probability of occurrence of different kinds of crowd
anomalies gets frequent. Blockage on roads, the lighting condition, and the uneven …
anomalies gets frequent. Blockage on roads, the lighting condition, and the uneven …
Efficient anomaly detection in crowd videos using pre-trained 2D convolutional neural networks
A Mehmood - IEEE Access, 2021 - ieeexplore.ieee.org
Surveillance of crowded places can benefit from improved techniques of anomaly detection
in crowd videos. Several existing methods have detected various types of crowd abnormal …
in crowd videos. Several existing methods have detected various types of crowd abnormal …
A novel framework for detection of motion and appearance-based Anomaly using ensemble learning and LSTMs
M Sabih, DK Vishwakarma - Expert Systems with Applications, 2022 - Elsevier
The variable time-dependent densities in crowd motion and several occlusions in real
scenarios make the task of spotting anomalies very laborious. Also, an anomalous entity can …
scenarios make the task of spotting anomalies very laborious. Also, an anomalous entity can …
An efficient deep neural model for detecting crowd anomalies in videos
Identifying unusual crowd events is highly challenging, laborious, and prone to errors in
video surveillance applications. We propose a novel end-to-end deep learning architecture …
video surveillance applications. We propose a novel end-to-end deep learning architecture …
A hybrid deep network based approach for crowd anomaly detection
In this paper, we present a hybrid deep network based approach for crowd anomaly
detection in videos. For improved performance, the proposed approach exploits deep and …
detection in videos. For improved performance, the proposed approach exploits deep and …
Deep learning and one-class SVM based anomalous crowd detection
Anomalous event detection in videos is an important and challenging task. This paper
proposes a deep representation approach to the problem, which extracts and represents …
proposes a deep representation approach to the problem, which extracts and represents …
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
MH Sharif, L Jiao, CW Omlin - arXiv preprint arXiv:2210.13927, 2022 - arxiv.org
Crowd anomaly detection is one of the most popular topics in computer vision in the context
of smart cities. A plethora of deep learning methods have been proposed that generally …
of smart cities. A plethora of deep learning methods have been proposed that generally …
A CNN Based Approach for Crowd Anomaly Detection.
Automatic Anomaly detection in a crowd scene is very significant because of more
apprehension with people's safety in a public place. Because of usefulness and complexity …
apprehension with people's safety in a public place. Because of usefulness and complexity …
Scene perception guided crowd anomaly detection
Crowd anomaly detection has been a research hotspot in the field of video surveillance in
recent years. In most existing methods, the accuracy of anomaly detection dominantly relies …
recent years. In most existing methods, the accuracy of anomaly detection dominantly relies …
Deep crowd anomaly detection by fusing reconstruction and prediction networks
Abnormal event detection is one of the most challenging tasks in computer vision. Many
existing deep anomaly detection models are based on reconstruction errors, where the …
existing deep anomaly detection models are based on reconstruction errors, where the …