… In this paper we presented a novel approach for violence detection in videos which is
based on Lagrangian measures. Lagrangian measures, as a tool from Lagrangian theory …

… of crowd violence. This paper presents and demonstrates a crowd violence detection system
… potential stakeholders, when violence-related content is identified in crowd-based video …

… Here, we focus on the task of detecting outbreaks of crowd violence, as it happens, from
surveillance video cameras. Such videos typically do not have audio tracks, and, …

… crowd violence detection framework that aims at analysing crowd-centered video footage
and detecting scenes that contain indications of violence. Initially, the input streams (received …

… the normal behavior of crowd observed in the scene. Violence detection is then performed
on each video volume constructed by densely sampling the candidate violence regions. To …

… This is the first of such dataset which is dedicatedly proposed for violence detection in
Bangladeshi crowd. We encourage further research on similar fields and hence open sourced the …

… to the messy crowd. In Table 4, several state-of-the-art violence detection algorithms are …
When comparing the performance on the BEHAVE dataset with that on the Crowd Violence …

Video analysis for violence detection is crucial, especially when dealing with crowd data,
where the potential for severe mob attacks in sensitive areas is high. This paper proposes a …

… , object detection approaches are utilized to detect human pedestrians and crowd behavior
… This paper is providing a good result for crowd violence detection in terms of accuracy and …

… fed into a classifier to detect/quantify the violence behaviors. … 2, we review the state-of-the-art
on violence detection using … define the VIPS descriptor for crowd violence detection. In Sect. …