This contribution provides a microscopic experimental study of pedestrian motion in front of the bottleneck. Identification of individual pedestrians in conducted experiments enables to explain the high variance of travel time by heterogeneity of the crowd. Some pedestrians are able to push effectively through the crowd, some get trapped in the crowd for significantly longer time. This ability ...

The analysis of human crowds has widespread uses from law enforcement to urban engineering and traffic management. All of these require a crowd to first be detected, which is the problem addressed in this paper. Given an image, the algorithm we propose segments it into crowd and non-crowd regions. The main idea is to capture two key properties of crowds: (i) on a narrow scale, its basic element...

Crowd modeling is the study of crowd behaviours and has been used by, for example, safety engineers and architectural designers in assessing crowd movements in buildings under normal and emergency situations. However, many existing crowd models neglect how agents in the crowd explore the environment to find the most suitable or optimal path towards their destinations. Therefore, the main purpos...

In conventional wisdom on crowdsourcing, the number of people define the crowd and maximizing this number is often assumed to be the goal of any crowdsourcing exercise. However, we propose that there are structural characteristics of the crowd that might be more important than the sheer number of participants. These characteristics include (1) growth rate and its attractiveness to the members, ...

In the area of crowd abnormal detection, the parameter of population density, is seldom used to the global crowd behavior detection. Some of the references simply use the LBP or spatial-temporal LBP features to fulfill the abnormal detection. They don’t make full use of the crowd density characteristics and dynamic characteristics. This paper proposes a novel method by increasing the dimension ...

Crowds must be simulated believable in terms of their appearance and behavior to improve a virtual environment’s realism. Due to the complex nature of human behavior, realistic behavior of agents in crowd simulations is still a challenging problem. In this paper, we propose a novel behavioral model which builds analytical maps to control agents’ behavior adaptively with agent– crowd interaction...

Along with the widespread growth of surveillance cameras, computer vision algorithms have played a fundamental role in analyzing the large amount of videos. However, most of the current approaches in automatic video surveillance assume that the observed scene is not crowded, and is composed of easily perceptible components. These approaches are hard to be extended to more challenging videos of ...

Collective motions are common in crowd systems and have attracted a great deal of attention in a variety of multidisciplinary fields [2]. Collectiveness, which indicates the degree of individuals acting as a union in collective motion, is a fundamental and universal measurement for various crowd systems. Quantitatively measuring this universal property and comparing it across different crowd sy...