Intelligent video surveillance: a review through deep learning techniques for crowd analysis
Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …
Among the widespread examples of big data, the role of video streams from CCTV cameras …
A comprehensive review on vision-based violence detection in surveillance videos
Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …
topic of great interest in the research community due to the vast number of applications to …
Violence detection using spatiotemporal features with 3D convolutional neural network
The worldwide utilization of surveillance cameras in smart cities has enabled researchers to
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …
analyze a gigantic volume of data to ensure automatic monitoring. An enhanced security …
Efficient violence detection in surveillance
R Vijeikis, V Raudonis, G Dervinis - Sensors, 2022 - mdpi.com
Intelligent video surveillance systems are rapidly being introduced to public places. The
adoption of computer vision and machine learning techniques enables various applications …
adoption of computer vision and machine learning techniques enables various applications …
Violence recognition from videos using deep learning techniques
MM Soliman, MH Kamal, MAEM Nashed… - 2019 ninth …, 2019 - ieeexplore.ieee.org
Automatic recognition of violence between individuals or crowds in videos has a broad
interest. In this work, an end-to-end deep neural network model for the purpose of …
interest. In this work, an end-to-end deep neural network model for the purpose of …
State-of-the-art violence detection techniques in video surveillance security systems: a systematic review
B Omarov, S Narynov, Z Zhumanov, A Gumar… - PeerJ Computer …, 2022 - peerj.com
We investigate and analyze methods to violence detection in this study to completely
disassemble the present condition and anticipate the emerging trends of violence discovery …
disassemble the present condition and anticipate the emerging trends of violence discovery …
Vision transformer and deep sequence learning for human activity recognition in surveillance videos
Human Activity Recognition is an active research area with several Convolutional Neural
Network (CNN) based features extraction and classification methods employed for …
Network (CNN) based features extraction and classification methods employed for …
AI-assisted edge vision for violence detection in IoT-based industrial surveillance networks
Analyzing surveillance videos is mandatory for the public and industrial security.
Overwhelming growth in computer vision fields has been made to automate the surveillance …
Overwhelming growth in computer vision fields has been made to automate the surveillance …
A review on state-of-the-art violence detection techniques
With the rapid growth of surveillance cameras to monitor the human activity demands such
system which recognize the violence and suspicious events automatically. Abnormal and …
system which recognize the violence and suspicious events automatically. Abnormal and …
An overview of violence detection techniques: current challenges and future directions
Abstract The Big Video Data generated in today's smart cities has raised concerns from its
purposeful usage perspective, where surveillance cameras, among many others are the …
purposeful usage perspective, where surveillance cameras, among many others are the …