Automated scene analysis has been a topic of great interest in computer vision and
cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded …

Although the traits emerged in a mass gathering are often non-deliberative, the act of mass
impulse may lead to irrevocable crowd disasters. The two-fold increase of carnage in crowd …

Abnormal behavior detection in crowded scenes is extremely challenging in the field of
computer vision due to severe inter-object occlusions, varying crowd densities and the …

The analysis of human activities is one of the most intriguing and important open issues for
the automated video surveillance community. Since few years ago, it has been handled …

Abnormal activity recognition is a challenging task in surveillance videos. In this paper, we
propose an approach for abnormal activity recognition based on graph formulation of video …

In this work, we propose an unsupervised approach for crowd scene anomaly detection and
localization using a social network model. Using a window-based approach, a video scene …

The severity of sustained injury resulting from assault-related violence can be minimised by
reducing detection time. However, it has been shown that human operators perform poorly …

This paper presents a novel video descriptor, referred to as Histogram of Oriented Track lets,
for recognizing abnormal situation in crowded scenes. Unlike standard approaches that use …

This paper focuses on detecting and localizing anomalous events in videos of crowded
scenes, ie, divergences from a dominant pattern. Both motion and appearance information …

Approaches inspired by Newtonian mechanics have been successfully applied for detecting
abnormal behaviors in crowd scenarios, being the most notable example the Social Force …