In this paper we advance the state-of-the-art for crowd counting in high density scenes by further exploring the idea of a fully convolutional crowd counting model introduced by (Zhang et al., 2016). Producing an accurate and robust crowd count estimator using computer vision techniques has attracted significant research interest in recent years. Applications for crowd counting systems exist in...

Social scientists have criticised computer models of pedestrian streams for their treatment of psychological crowds as mere aggregations of individuals. Indeed most models for evacuation dynamics use analogies from physics where pedestrians are considered as particles. Although this ensures that the results of the simulation match important physical phenomena, such as the deceleration of the cr...

L crowd simulation is important in computer games, movies, virtual training, and education applications. One popular approach, agent-based crowd simulation, considers the properties of each individual (agent) separately at every time step, enabling a highly realistic simulation of path navigation, cognitive reaction, collision avoidance, and animation control. Agent-based crowd simulation syste...

This paper focus on engineering and computer science aspects of development, applications, and resources related to increase the efficiency of crowd simulation using Particle Swarm Optimization. This paper presents the idea of crowd simulation and uniform conceptual model based on Particle Swarm Optimization paradigm to simulate crowd. Particle Swarm Optimization (PSO) is a technique used to ex...

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...

Crowd simulation is a complex and challenging domain. Crowds demonstrate many complex behaviours and are consequently difficult to model for realistic simulation systems. Analyzing crowd dynamics has been an active area of research and efforts have been made to develop models to explain crowd behaviour. In this paper we describe an agent based simulation of crowds, based on a continuous field f...

INTRODUCTION igh-powered technology use computer graphics in education, entertainment, games, simulation, and virtual heritage applications has led it to become an important area of research. In simulation, according to Tecchia et al. (2002), it is important to create an interactive, complex, and realistic virtual world so that the user can have an immersive experience during navigation through...

The purpose of this study was to examine the steps involved in the sequential application of crowds to produce creative solutions for social problems. 127 university students generated, criticized, modified, and evaluated text solutions for reducing misinformation on the Internet. One crowd generated solutions based on two ideas randomly paired from previous crowds’ ideas. The other crowd came ...

We present Menge, a cross-platform, extensible, modular framework for sim1 ulating pedestrian movement in a crowd. Menge’s architecture is inspired by an implicit 2 decomposition of the problem of simulating crowds into component subproblems. These 3 subproblems can typically be solved in many ways; different combinations of subproblem 4 solutions yield crowd simulators with likewise varying pr...

We introduce "Crowd Sculpting": a method to interactively design populated environments by using intuitive deformation gestures to drive both the spatial coverage and the temporal sequencing of a crowd motion. Our approach assembles large environments from sets of spatial elements which contain inter-connectible, periodic crowd animations. Such a “Crowd Patches” approach allows us to avoid expe...