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 …

People in crowd scenes always exhibit consistent behaviors and form collective motions.
The analysis of collective motion has motivated a surge of interest in computer vision …

In this work we present a new crowd analysis algorithm powered by behavior priors that are
learned on a large database of crowd videos gathered from the Internet. The algorithm …

Recent work on computer vision analysis of crowds tends to focus on robustly tracking
individuals through the crowd or on analyzing the overall pattern of flow. Our work seeks a …

Although surveillance video cameras are now widely used, their effectiveness is
questionable. Here, we focus on the challenging task of monitoring crowded events for …

Groups are the primary entities that make up a crowd. Understanding group-level dynamics
and properties is thus scientifically important and practically useful in a wide range of …

This paper addresses the problem of detecting coherent motions in crowd scenes and
presents its two applications in crowd scene understanding: semantic region detection and …

The crowd stampede and terrorist attacks in public areas have now become more serious
and dangerous threats due to the rapid increase in the population and scale of cities …

A novel method for crowd flow modeling and anomaly detection is proposed for both
coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique …

Crowd behaviour analysis is a challenging task in computer vision, mainly due to the high
complexity of the interactions between groups and individuals. This task is particularly …