Low-cost CNN for automatic violence recognition on embedded system
Due to the increasing number of violence cases, there is a high demand for efficient
monitoring systems, however, these systems can be susceptible to failure. Therefore, this …
monitoring systems, however, these systems can be susceptible to failure. Therefore, this …
A real time crime scene intelligent video surveillance systems in violence detection framework using deep learning techniques
KB Sahay, B Balachander, B Jagadeesh… - Computers and …, 2022 - Elsevier
Surveillance system research is now experiencing great expansion. Surveillance cameras
put in public locations such as offices, hospitals, schools, roads, and other locations can be …
put in public locations such as offices, hospitals, schools, roads, and other locations can be …
Violence detection using pre-trained models
N Honarjoo, A Abdari… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Violence detection aims at recognizing whether a violent action has happened. This field
gained widespread popularity since there is a need to find applicable and automatic …
gained widespread popularity since there is a need to find applicable and automatic …
Efficient violence detection using 3d convolutional neural networks
Automatically analyzing violent content in surveillance videos is of profound significance on
many applications, ranging from Internet video filtration to public security protection. In this …
many applications, ranging from Internet video filtration to public security protection. In this …
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 …
Deep learning for automatic violence detection: Tests on the AIRTLab dataset
Following the growing availability of video surveillance cameras and the need for
techniques to automatically identify events in video footages, there is an increasing interest …
techniques to automatically identify events in video footages, there is an increasing interest …
A cnn-rnn combined structure for real-world violence detection in surveillance cameras
Surveillance cameras have been increasingly used in many public and private spaces in
recent years to increase the security of those areas. Although many companies still recruit …
recent years to increase the security of those areas. Although many companies still recruit …
CNN-BiLSTM model for violence detection in smart surveillance
R Halder, R Chatterjee - SN Computer science, 2020 - Springer
In this paper, a lightweight computational model has been introduced for the better
classification of violent and non-violent activities. Nowadays, the occurrences of violent …
classification of violent and non-violent activities. Nowadays, the occurrences of violent …
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 …
Real time violence detection in surveillance videos using Convolutional Neural Networks
Irfanullah, T Hussain, A Iqbal, B Yang… - Multimedia Tools and …, 2022 - Springer
Real-time violence detection with the use of surveillance is the process of using live videos
to detect violent and irregular behavior. In organizations, they use some potential …
to detect violent and irregular behavior. In organizations, they use some potential …