A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …
public safety and perimeter security. They are deployed in places such as markets …
Machine learning methods for the industrial robotic systems security
D Tsapin, K Pitelinskiy, S Suvorov, A Osipov… - Journal of Computer …, 2023 - Springer
The trends in the introduction of industrial and logistics robots into the social sphere of
activity in order to ensure the safety of civilian facilities, the current problems of the growth of …
activity in order to ensure the safety of civilian facilities, the current problems of the growth of …
Suspicious activities detection using spatial–temporal features based on vision transformer and recurrent neural network
S Hameed, J Amin, MA Anjum, M Sharif - Journal of Ambient Intelligence …, 2024 - Springer
Nowadays there is growing demand for surveillance applications due to the safety and
security from anomalous events. An anomaly in the video is referred to as an event that has …
security from anomalous events. An anomaly in the video is referred to as an event that has …
Spatio-Temporal Features Representation Using Recurrent Capsules for Monaural Speech Enhancement
Single-channel speech enhancement is important for modern communication systems and
has received a lot of attention. A convolutional neural network (CNN) successfully learns …
has received a lot of attention. A convolutional neural network (CNN) successfully learns …
Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications
VR Chiranjeevi, D Malathi - Neural Computing and Applications, 2024 - Springer
Video abnormality behavior identification plays a pivotal role in improving the safety and
security of surveillance systems by identifying unusual events within video streams …
security of surveillance systems by identifying unusual events within video streams …
[HTML][HTML] Engineering a multi-sensor surveillance system with secure alerting for next-generation threat detection and response
This paper presents an advanced Surveillance Warning System (SWS) designed for next-
generation video surveillance applications. While contemporary alert systems have …
generation video surveillance applications. While contemporary alert systems have …
An efficient convolutional neural network for detecting the crime of stealing in videos
N Waddenkery, S Soma - Entertainment Computing, 2024 - Elsevier
In the current age of technological progress, surveillance cameras are extensively placed in
densely populated areas to encourage public safety. However, detecting stealing activities …
densely populated areas to encourage public safety. However, detecting stealing activities …
EASAD: efficient and accurate suspicious activity detection using deep learning model for IoT-based video surveillance
MH Wani, AR Faridi - International Journal of Information Technology, 2024 - Springer
Video surveillance on Internet of Things (IoT) devices is crucial for ensuring security and
monitoring in various environments. However, these devices often operate under significant …
monitoring in various environments. However, these devices often operate under significant …
Towards Transfer Learning Based Human Anomaly Detection in Videos
In the present era, the crime rates increase day by day, in such situations, humans keep
security as a topmost priority in their daily lives. As a result, the demands of surveillance …
security as a topmost priority in their daily lives. As a result, the demands of surveillance …
[PDF][PDF] Residual Attention based Long-Short Term Memory with Self Gated Rectified Linear Unit for Anomalous Behavior Detection.
K Kalla, JS Gogulamanda - … Journal of Intelligent Engineering & Systems, 2024 - inass.org
The detection of anomalous behavior in video surveillance is a focus of present research
which has huge value and extensive application probabilities. Due to the difficulty of human …
which has huge value and extensive application probabilities. Due to the difficulty of human …