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 …
Violencenet: Dense multi-head self-attention with bidirectional convolutional lstm for detecting violence
Introducing efficient automatic violence detection in video surveillance or audiovisual
content monitoring systems would greatly facilitate the work of closed-circuit television …
content monitoring systems would greatly facilitate the work of closed-circuit television …
CNN-BiLSTM model for violence detection in smart surveillance
In this paper, a lightweight computational model has been introduced for the better
classification of violent and non-violent activities. Nowadays, the occurrences of violent …
classification of violent and non-violent activities. Nowadays, the occurrences of violent …
Revisiting vision-based violence detection in videos: A critical analysis
G Kaur, S Singh - Neurocomputing, 2024 - Elsevier
An ever-increasing installation of surveillance cameras at different places for ensuring public
safety, security and asset protection has triggered the need for intelligent video surveillance …
safety, security and asset protection has triggered the need for intelligent video surveillance …
Deep NeuralNet for violence detection using motion features from dynamic images
A Jain, DK Vishwakarma - 2020 third international conference …, 2020 - ieeexplore.ieee.org
Violent Action Recognition has been a challenging topic in monitoring human activities,
especially in public premises. Deep neural nets and Transfer learning have proven highly …
especially in public premises. Deep neural nets and Transfer learning have proven highly …
Violence detection using pre-trained models
Violence detection aims at recognizing whether a violent action has happened. This field
gained widespread popularity since there is a need to find applicable and automatic …
gained widespread popularity since there is a need to find applicable and automatic …
State-of-the-arts violence detection using ConvNets
A Jain, DK Vishwakarma - 2020 international conference on …, 2020 - ieeexplore.ieee.org
Over the last few years, there has been a surge in develo** automated systems that can
monitor human activities in the public environment and recognize abnormalities like violent …
monitor human activities in the public environment and recognize abnormalities like violent …
Dynamic position transformation and boundary refinement network for left atrial segmentation
Left atrial (LA) segmentation is a crucial technique for diagnosing irregular heartbeat (ie,
atrial fibrillation). Most current methods for LA segmentation strictly assume that the input …
atrial fibrillation). Most current methods for LA segmentation strictly assume that the input …
Lightweight mobile network for real-time violence recognition
Y Zhang, Y Li, S Guo - PLoS one, 2022 - journals.plos.org
Most existing violence recognition methods have complex network structures and high cost
of computation and cannot meet the requirements of large-scale deployment. The purpose …
of computation and cannot meet the requirements of large-scale deployment. The purpose …
SCTF: an efficient neural network based on local spatial compression and full temporal fusion for video violence detection
T Zhenhua, X Zhenche, W Pengfei, W Danke… - Multimedia tools and …, 2024 - Springer
Spatiotemporal modeling is key for action recognition in videos. In this paper, we propose a
Spatial features Compression and Temporal features Fusion (SCTF) block, including a Local …
Spatial features Compression and Temporal features Fusion (SCTF) block, including a Local …