TOP-ALCM: A novel video analysis method for violence detection in crowded scenes

X Hu, Z Fan, L Jiang, J Xu, G Li, W Chen, X Zeng… - Information …, 2022 - Elsevier
Abstract Despite the Video Violence Detection (VVD) plays a critical role in video
surveillance, it is not trivial in crowded scenes due to the complexity and diversity of …

A multi-stream CNN for deep violence detection in video sequences using handcrafted features

SM Mohtavipour, M Saeidi, A Arabsorkhi - The Visual Computer, 2022 - Springer
Intelligent video surveillance systems have been used recently for automatic monitoring of
human interactions. Although they play a significant role in reducing security concerns, there …

Crowd violence detection using global motion-compensated lagrangian features and scale-sensitive video-level representation

T Senst, V Eiselein, A Kuhn… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Lagrangian theory provides a rich set of tools for analyzing non-local, long-term motion
information in computer vision applications. Based on this theory, we present a specialized …

Angry crowds: Detecting violent events in videos

S Mohammadi, A Perina, H Kiani, V Murino - Computer Vision–ECCV …, 2016 - Springer
Approaches inspired by Newtonian mechanics have been successfully applied for detecting
abnormal behaviors in crowd scenarios, being the most notable example the Social Force …

Vi-Net: a deep violent flow network for violence detection in video sequences

TZ Ehsan, SM Mohtavipour - 2020 11th International …, 2020 - ieeexplore.ieee.org
Video surveillance cameras are widely used due to security concerns. Analyzing these large
amounts of videos by a human operator is a difficult and time-consuming job. To overcome …

Audiovisual dependency attention for violence detection in videos

W Pang, W Xie, Q He, Y Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Violence detection in videos can help maintain public order, detect crimes, or provide timely
assistance. In this paper, we aim to leverage multimodal information to determine whether …

DABA-net: deep acceleration-based AutoEncoder network for violence detection in surveillance cameras

TZ Ehsan, M Nahvi… - … Conference on Machine …, 2022 - ieeexplore.ieee.org
Violent crime is one of the main reasons for death and mental disorder among adults
worldwide. It increases the emotional distress of families and communities, such as …

Feature fusion based deep spatiotemporal model for violence detection in videos

M Asad, Z Yang, Z Khan, J Yang, X He - … 12–15, 2019, Proceedings, Part I …, 2019 - Springer
It is essential for public monitoring and security to detect violent behavior in surveillance
videos. However, it requires constant human observation and attention, which is a …

Multi-frame feature-fusion-based model for violence detection

M Asad, J Yang, J He, P Shamsolmoali, X He - The Visual Computer, 2021 - Springer
Human behavior detection is essential for public safety and monitoring. However, in human-
based surveillance systems, it requires continuous human attention and observation, which …

Violence detection enhancement by involving convolutional block attention modules into various deep learning architectures: comprehensive case study for ubi-fights …

MAB Abbass, HS Kang - IEEE Access, 2023 - ieeexplore.ieee.org
Violence detection in surveillance videos is a complicated task, due to the requirements of
extracting the spatio-temporal features in different videos environment, and various video …