Towards Real-world Violence Recognition via Efficient Deep Features and Sequential Patterns Analysis

N Mumtaz, N Ejaz, I Rida, MA Khan, MY Lee - Mobile Networks and …, 2024 - Springer
Surveillance video analysis using automated AI-based techniques is a prominent research
field with real-world applications. Several techniques aiming at recognizing activities …

A slowfast-based violence recognition method

X Diao, Y Xu - 2022 6th Asian Conference on Artificial …, 2022 - ieeexplore.ieee.org
With the massive installation of cameras in cities, the requirement of equipment in an urban
safety system has been basically satisfied. As a result, an available intelligent video-based …

Human violence recognition in video surveillance in real-time

HA Huillcen Baca, F de Luz Palomino Valdivia… - Future of Information …, 2023 - Springer
The automatic detection of human violence in video surveillance is an area of great attention
due to its application in security, monitoring, and prevention systems. Detecting violence in …

Violence Detection in Videos Using Deep Learning: A Survey

G Kaur, S Singh - … Technology and Computing: Proceedings of AICTC …, 2022 - Springer
There is a significant need of intelligent surveillance systems to monitor people and
recognize their violent behavior at public environments (like banks, hospitals, market …

Violence Detection Enhancement in Video Sequences Based on Pre-trained Deep Models

YR Elkhashab, WH El-Behaidy - النشرة المعلوماتية في …, 2023‎ - fcihib.journals.ekb.eg
Violence detection is one of the challenging applications in the field of Human activity
recognition (HAR). The enhancement of violence detection, through surveillance cameras …

[HTML][HTML] A cnn-rnn combined structure for real-world violence detection in surveillance cameras

S Vosta, KC Yow - Applied Sciences, 2022 - mdpi.com
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 …

[PDF][PDF] A Novel Spatio-Temporal Violence Classification Framework Based on Material Derivative and LSTM Neural Network.

W Lejmi, AB Khalifa, MA Mahjoub - Traitement du Signal, 2020 - academia.edu
Accepted: 20 September 2020 In the current era, the implementation of automated security
video surveillance systems is particularly needy in terms of human violence recognition …

Using deep learning algorithms to detect violent activities

SM Ammar, MTR Anjum, MTI Islam - 2019 - dspace.bracu.ac.bd
It is of extensive importance to develop a technique for automatic surveillance video analysis
to recognize the presence of violence. In this work, to identify violent videos, we put forward …

KianNet: A violence detection model using an attention-based CNN-LSTM structure

S Vosta, KC Yow - IEEE Access, 2023 - ieeexplore.ieee.org
Violent behaviour is always an important issue that threatens any society. Therefore, many
organizations have used surveillance cameras to monitor such events to preserve public …

An overview of violence detection techniques: current challenges and future directions

N Mumtaz, N Ejaz, S Habib, SM Mohsin… - Artificial intelligence …, 2023 - Springer
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 …