Literature Review of Deep-Learning-Based Detection of Violence in Video
Physical aggression is a serious and widespread problem in society, affecting people
worldwide. It impacts nearly every aspect of life. While some studies explore the root causes …
worldwide. It impacts nearly every aspect of life. While some studies explore the root causes …
Systematic Mapping Study on Violence Detection in Video by Means of Trustworthy Artificial Intelligence
Physical aggression is a serious and widespread problem in society. Studies show that in
2015 alone, at least 50% of children living in Asia, Africa and North America experienced …
2015 alone, at least 50% of children living in Asia, Africa and North America experienced …
An end-to-end framework for real-time violent behavior detection based on 2D CNNs
P Zhang, L Dong, X Zhao, W Lei, W Zhang - Journal of Real-Time Image …, 2024 - Springer
Violent behavior detection (VioBD), as a special action recognition task, aims to detect
violent behaviors in videos, such as mutual fighting and assault. Some progress has been …
violent behaviors in videos, such as mutual fighting and assault. Some progress has been …
Violence Detection in Video Models Implementation Using Pre-trained VGG19 Combined With Manual Logic, LSTM Layers and Bi-LSTM layers
Objetives Physical aggressions are a pressing societal issue globally. In video violence
detection, the combination of Convolutional Neural Networks (CNN) and Long Short-Term …
detection, the combination of Convolutional Neural Networks (CNN) and Long Short-Term …
Violence Detection Through Surveillance Videos Using Combination of VGG16 and LSTM
S Kale - 2024 International Conference on Advances in Data …, 2024 - ieeexplore.ieee.org
Now-a-days in India, population is increasing. So, it affects crowd and violence in metro
cities. As a citizen, it is our responsibility to prevent the violence among the people. To aim …
cities. As a citizen, it is our responsibility to prevent the violence among the people. To aim …
Real-World Anomaly Detection in Video Using Spatio-Temporal Features Analysis for Weakly Labelled Data with Auto Label Generation
R Nayak, JP Chaudhari - International journal of electrical and …, 2023 - hrcak.srce.hr
Sažetak Detecting anomalies in videos is a complex task due to diverse content, noisy
labeling, and a lack of frame-level labeling. To address these challenges in weakly labeled …
labeling, and a lack of frame-level labeling. To address these challenges in weakly labeled …
Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
This thesis presents a novel approach for the automatic detection, categorization, and sub-
categorization of violent and nonviolent behaviors in video footage. This research addresses …
categorization of violent and nonviolent behaviors in video footage. This research addresses …