Crowd management is a complex, challenging and crucial task. Lack of appropriate management of crowd has, in past, led to many unfortunate stampedes with significant loss of life. To increase the crowd management efficiency, we deploy automated real time detection of stampede prone areas. Further, we use robotic agents for aiding the crowd management police in controlling the crowd in these sta...

The simulation a group of human plays an important rule in many computer graphics application such as computer games and walkthrough system. One of the common terms that refer to this simulation of a group of human is crowd simulation. In order to create a realistic and believability crowd simulation, collision avoidance is one of the trivial issues. In recent years, there are many significant ...

A case study investigation within a large UK university involving semi-structured stakeholder interviews, examined the organisation, coordination, and security within crowd events of various descriptions. Similarities in approaches and priorities emerged with crowd event organisation, primarily attention to safety requirements, in protecting crowd members, venue reputation, and legal obligation...

To date no technique for validating crowd control models has been proposed. Usually subject matter experts “look at” the simulations and decide if what they are observing “appears” reasonable or not. One reason for this has been inability to gather quantitative data from either actual crowd footage or simulations of crowds. Since this problem is being solved by Kaup et al, it now becomes possib...

Among a crowd of distractor faces, threatening or angry target faces are identified more quickly and accurately than are nonthreatening or happy target faces, a finding known as the "face in the crowd effect." Two perceptual explanations of the effect have been proposed: (1) the "target orienting" hypothesis (i.e., threatening targets orient attention more quickly than do nonthreatening targets...

In the past ten years, crowd detection and counting have been applied in many fields such as station statistics, urban safety prevention, people flow statistics. However, obtaining accurate positions improving performance of dense scenes still face challenges, it is worthwhile devoting much effort to this. this paper, a new framework proposed resolve problem. The includes two parts. first part ...

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 ...

We present a trajectory extraction and behavior-learning algorithm for data-driven crowd simulation. Our formulation is based on incrementally learning pedestrian motion models and behaviors from crowd videos. We combine this learned crowd-simulation model with an online tracker based on particle filtering to compute accurate, smooth pedestrian trajectories. We refine this motion model using an...

Objective: To assess the effects of Medicaid and SCHIP-related crowd-out on out-of-pocket medical expenditures and family premium costs for affected families. Data Sources: Data are drawn from the 2001 and 2004 panels of the Survey of Income and Program Participation (SIPP), administered by the U.S. Census Bureau. We construct a nationally representative, longitudinal sample of children, ages 0...