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 …

Detecting coherent groups is fundamentally important for crowd behavior analysis. In the
past few decades, plenty of works have been conducted on this topic, but most of them have …

Automatic analysis and the recognition and prediction of the behaviour of large-scale
crowds in video-surveillance data is a research field of paramount importance for the …

Collective motions are common in crowd systems and have attracted a great deal of
attention in a variety of multidisciplinary fields. Collectiveness, which indicates the degree of …

Abnormal behavior detection in crowd scenes is continuously a challenge in the field of
computer vision. For tackling this problem, this paper starts from a novel structure modeling …

Collective behaviors characterize the intrinsic dynamics of the crowds. Automatically
understanding collective crowd behaviors has important applications to video surveillance …

Research on methods for detection and recognition of events and actions in videos is
receiving an increasing attention from the scientific community, because of its relevance for …

In this paper, we propose to use the deep learning technique for abnormal event detection
by extracting spatiotemporal features from video sequences. Human eyes are often attracted …

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