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 …

Of the many crowd behavior models, very few have been used in assisting crowd
management practice. This lack of usage is partly due to crowd management involving a …

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 …

This paper presents an approach for detecting anomalous events in videos with crowds. The
main goal is to recognize patterns that might lead to an anomalous event. An anomalous …

Crowd understanding has drawn increasing attention from the computer vision community,
and its progress is driven by the availability of public crowd datasets. In this paper, we …

Visual recognition of crowd dynamics has had a huge impact on several applications
including surveillance, situation awareness, homeland security and intelligent environments …

Crowd behavior analysis has recently emerged as an increasingly important and dedicated
problem for crowd monitoring and management in the visual surveillance community. In …

This paper proposes a novel data-driven modeling framework to construct agent-based
crowd model based on real-world video data. The constructed crowd model can generate …

Pedestrian behavior modeling and analysis is important for crowd scene understanding and
has various applications in video surveillance. Stationary crowd groups are a key factor …

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 …