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 …
Small object detection and tracking: a comprehensive review
Object detection and tracking are vital in computer vision and visual surveillance, allowing
for the detection, recognition, and subsequent tracking of objects within images or video …
for the detection, recognition, and subsequent tracking of objects within images or video …
Deep learning for human activity recognition on 3d human skeleton: survey and comparative study
Human activity recognition (HAR) is an important research problem in computer vision. This
problem is widely applied to building applications in human–machine interactions …
problem is widely applied to building applications in human–machine interactions …
Tuna swarm algorithm with deep learning enabled violence detection in smart video surveillance systems
In smart video surveillance systems, violence detection becomes challenging to ensure
public safety and security. With the proliferation of surveillance cameras in public areas …
public safety and security. With the proliferation of surveillance cameras in public areas …
Deep neural networks in video human action recognition: A review
Z Wang, Y Yang, Z Liu, Y Zheng - arxiv preprint arxiv:2305.15692, 2023 - arxiv.org
Currently, video behavior recognition is one of the most foundational tasks of computer
vision. The 2D neural networks of deep learning are built for recognizing pixel-level …
vision. The 2D neural networks of deep learning are built for recognizing pixel-level …
Multimodal action recognition: a comprehensive survey on temporal modeling
E Shabaninia, H Nezamabadi-pour… - Multimedia Tools and …, 2024 - Springer
In action recognition that relies on visual information, activities are recognized through
spatio-temporal features from different modalities. The challenge of temporal modeling has …
spatio-temporal features from different modalities. The challenge of temporal modeling has …
Literature Review of Deep-Learning-Based Detection of Violence in Video
P Negre, RS Alonso, A González-Briones, J Prieto… - Sensors, 2024 - mdpi.com
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 …
DESSA-Net Model: Hyperspectral Image Classification Using an Entropy Filter with Spatial and Spectral Attention Modules on DeepNet
J Mahmoodi, D Abbasi-Moghadam… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Recent advancements in remote sensing technology have significantly expanded the
exploration of natural resources and enabled the detection of materials in inaccessible …
exploration of natural resources and enabled the detection of materials in inaccessible …
A spatio-temporal model for violence detection based on spatial and temporal attention modules and 2D CNNs
J Mahmoodi, H Nezamabadi-pour - Pattern Analysis and Applications, 2024 - Springer
Violence detection is a difficult task because it involves analyzing video clips from multiple
security cameras, which are located in various places and operate continuously. When …
security cameras, which are located in various places and operate continuously. When …
Human Violence Detection in Videos Using Key Frame Identification and 3D CNN with Convolutional Block Attention Module
In recent years, there has been an increase in demand for intelligent automatic surveillance
systems to detect abnormal activities at various places, such as schools, hospitals, prisons …
systems to detect abnormal activities at various places, such as schools, hospitals, prisons …