Automated violence monitoring system for real-time fistfight detection using deep learning-based temporal action localization
Abstract Fistfight detection in video data is a critical task in video surveillance systems, where identifying physical altercations in real-time can enhance safety and security in public spaces. Earlier techniques primarily emphasized capturing inter-person interactions and combining individual cha...
Saved in:
| Main Authors: | Baolong Qi, Baoyuan Wu, Bailing Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-12531-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Next Generation Human Action Recognition: A Comprehensive Review of State-of-the-Art Signal Processing Techniques
by: Misha Karim, et al.
Published: (2025-01-01) -
Action Recognition in Videos through a Transfer-Learning-Based Technique
by: Elizabeth López-Lozada, et al.
Published: (2024-10-01) -
Spatial–Temporal Transformer for Optimizing Human Health Through Skeleton-Based Body Sports Action Recognition
by: Faze Liang, et al.
Published: (2025-01-01) -
Real-Time Human Action Recognition With Dynamical Frame Processing via Modified ConvLSTM and BERT
by: Raden Hadapiningsyah Kusumoseniarto, et al.
Published: (2025-01-01) -
Multimodal Deep Learning for Violence Detection: VGGish and MobileViT Integration With Knowledge Distillation on Jetson Nano
by: Mohammed, et al.
Published: (2025-01-01)