Violence detection in automated video surveillance: Recent trends and comparative studies

S Roshan, G Srivathsan, K Deepak… - The Cognitive Approach …, 2020 - Elsevier
There is an increasing demand for automated video surveillance with a wide range of
threats in the society and less manpower to monitor them. Especially, detecting violence in …

Fight Detection in Crowd Scenes Based on Deep Spatiotemporal Features

A Atallah Almazroey, S Kammoun Jarraya - 2020 2nd International …, 2020 - dl.acm.org
Over the last few decades, remarkable growths of distributing surveillance cameras have
been noticed in privet and public facilities. Therefore, with a growing demand for security …

Violence Detection in Indoor Domestic Environment Using Multimodal Information

R Aravinth, T Shashwat, V Yeshwanth… - … Conference on Machine …, 2023 - Springer
The recognition of violent activities has emerged as a prominent topic within the realm of
computer vision research. This issue is of paramount importance within indoor domestic …

TOP-ALCM: A novel video analysis method for violence detection in crowded scenes

X Hu, Z Fan, L Jiang, J Xu, G Li, W Chen, X Zeng… - Information …, 2022 - Elsevier
Abstract Despite the Video Violence Detection (VVD) plays a critical role in video
surveillance, it is not trivial in crowded scenes due to the complexity and diversity of …

Hybrid feature-assisted neural model for crowd behavior analysis

HY Swathi, G Shivakumar - SN Computer Science, 2021 - Springer
The exponential rise in technology and allied applications has always revitalized academia
industries to achieve more efficient and robust solution to meet contemporary demands …

Crowd violence detection in videos using deep learning architecture

K Aarthy, AA Nithya - 2022 IEEE 2nd Mysore Sub Section …, 2022 - ieeexplore.ieee.org
Violence is considered as a serious and sensory issue and visualizing the violence is
therefore subjected to ethical implications. Surveillance cameras may be placed in several …

[HTML][HTML] Intelligent video surveillance: a review through deep learning techniques for crowd analysis

G Sreenu, S Durai - Journal of Big Data, 2019 - Springer
Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos

P Nardelli, D Comminiello - arXiv preprint arXiv:2405.02961, 2024 - arxiv.org
Due to the ever-increasing availability of video surveillance cameras and the growing need
for crime prevention, the violence detection task is attracting greater attention from the …

Motion pattern-based scene classification using adaptive synthetic oversampling and fully connected deep neural network

MS Mohammed, A Al-Dhamari, W Saeed… - IEEE …, 2023 - ieeexplore.ieee.org
Analyzing crowded environments has become an increasingly researched topic in computer
vision community, largely due to its myriad practical applications, including enhanced video …

[PDF][PDF] Violence Detection: A Serious-Gaming Approach

D Elzinga, S Ruessink, G Cascavilla, D Tamburri… - scitepress.org
Widespread use of IoT, like surveillance cameras, raises privacy concerns in citizens' lives.
However, limited studies explore AI-based automatic recognition of criminal incidents due to …