Efficiently adapting large pre-trained models for real-time violence recognition in smart city surveillance

X Ren, W Fan, Y Wang - Journal of Real-Time Image Processing, 2024 - Springer
Recently, the concept of smart cities has gained prominence, aiming to enhance urban
efficiency, safety, and quality of life through advanced technologies. A critical component of …

Combining keyframes and image classification for violent behavior recognition

Y Bi, D Li, Y Luo - Applied Sciences, 2022 - mdpi.com
Surveillance cameras are increasingly prevalent in public places, and security services
urgently need to monitor violence in real time. However, the current violent-behavior …

CUE-Net: Violence Detection Video Analytics with Spatial Cropping, Enhanced UniformerV2 and Modified Efficient Additive Attention

D Chamalke Senadeera, X Yang, D Kollias… - arXiv e …, 2024 - ui.adsabs.harvard.edu
In this paper we introduce CUE-Net, a novel architecture designed for automated violence
detection in video surveillance. As surveillance systems become more prevalent due to …

Crowd abnormal behaviour detection using convolutional neural network and bidirectional LSTM

B Padmaja, BJD Kalyani, V Chapala… - AIP Conference …, 2024 - pubs.aip.org
In the present day, for the purpose of social security, video surveillance frameworks are
utilized in public places such as metro stations, temples, shopping malls, stadiums and so …

Drone Watch: A Novel Dataset for Violent Action Recognition from Aerial Videos

N Mahajan, A Chauhan, H Kumar, S Kaushal… - Congress on Control …, 2023 - Springer
In recent developments, a lot has been done for computer vision applied to human action
recognition and violence detection. Although various datasets are available for action and …

A Generalized Model for Crowd Violence Detection Focusing on Human Contour and Dynamic Features

Z Chexia, Z Tan, D Wu, J Ning… - 2022 22nd IEEE …, 2022 - ieeexplore.ieee.org
The research on detecting violent behavior in videos has made good progress, which
provides good support for monitoring abnormal videos spread in the network, so as to …

CUE-Net: Violence Detection Video Analytics with Spatial Cropping Enhanced UniformerV2 and Modified Efficient Additive Attention

DC Senadeera, X Yang, D Kollias… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we introduce CUE-Net a novel architecture designed for automated violence
detection in video surveillance. As surveillance systems become more prevalent due to …

UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV

M Rahmun, T Deb, SA Bijoy, MH Raha - arXiv preprint arXiv:2208.06702, 2022 - arxiv.org
Unmanned Aerial Vehicle (UAV) has gained significant traction in the recent years,
particularly the context of surveillance. However, video datasets that capture violent and non …

[PDF][PDF] FUSION LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORKS AND SEQUENCE LEARNING ARCHITECTURES FOR VIOLENCE CLASSIFICATION

W Getsopon, O Surinta - researchgate.net
Stopping violent incidents in real life is more dangerous for ordinary people. It may harm
people's lives. Calling the police is the best choice to stop the violence. We should have an …

Breaking down violence: A deep-learning strategy to model and classify violence in videos

BM Peixoto, S Avila, Z Dias, A Rocha - Proceedings of the 13th …, 2018 - dl.acm.org
Detecting violence in videos through automatic means is significant for law enforcement and
analysis of surveillance cameras with the intent of maintaining public safety. Moreover, it …