Challenges in Crowd Simulation

Thalmann, Daniel; Grillon, Helena; Maïm, Jonathan; Yersin, Barbara

doi:10.1109/cw.2009.23

Cited by 31 publications

(19 citation statements)

References 17 publications

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“…A 40 degree Field-of-View (FoV) Head Mounted Display (HMD) was chosen for virtual environment visualization instead of CAVE system. Thalmann et al [Thalmann et al 2009] conducted an experiment on head orientation and eye pupil movements in a crowd scene. They focused on visual attention in an immersive CAVE system.…”

Section: Related Workmentioning

confidence: 99%

Within-crowd immersive evaluation of collision avoidance behaviors

Ahn

Wang

Thalmann

et al. 2012

Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry

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Figure 1: Users performing within-crowd immersive evaluation in a CAVE environment. Each user experienced and scored four different crowd simulation scenarios, which were shown in randomized order. Each colored number plate shows the current experiencing scenario among four scenarios. These numbers in the plates are not related to the id of a simulation algorithm. AbstractIn this paper, we first present our crowd simulation method, Trajectory Variant Shift (TVS) based on real pedestrian trajectories reuse. We detail how to re-use and shift these trajectories to avoid collisions while retaining the liveliness of captured data. Second, we conducted a user study in a four-screen CAVE to compare our approach with three others when the subject is standing within the crowd to perform a visual search task (waiting for a specific person). Results confirm that our approach is considered as good as the state of the art regarding subject's spatial awareness within the crowd, and better regarding not only the perceived liveliness of the crowd, but also the comfort in the CAVE.

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Section: Related Workmentioning

confidence: 99%

Within-crowd immersive evaluation of collision avoidance behaviors

Ahn

Wang

Thalmann

et al. 2012

Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry

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“…In our particular case, stylizing the scene and rendering the avatars as silhouettes addressed this concern, but also made it more difficult to identify specific victims. Crowd simulation techniques might help address this issue, systematically generating diverse sets of avatars [15].…”

Section: Discussionmentioning

confidence: 99%

Exploration & Anthropomorphism in Immersive Unit Visualizations

Ivanov

Danyluk

Willett

2018

Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

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We report on an initial examination of the potential of immersive unit visualizations in virtual reality, showing how these visualizations can help viewers examine data at multiple scales and support affective, personal experiences with data. We outline unique opportunities for unit visualizations in virtual reality, including support for (1) dynamic scale transitions, (2) immersive exploration, and (3) anthropomorphic interactions. We then demonstrate a prototype system and discuss the potential for virtual reality visualization to support personal interactions with data.

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“…Apesar de suportar multidões densas, esse modelo nãoé capaz de representar as condições enfrentadas por multidões densas reais, comó e possível em modelos baseados na abordagem de forças sociais. Aárea de Simulação de Multidão possui diversos problemas em aberto, principalmente quando se procura executar simulações em tempo real [23]. No presente trabalho são abordados desafios relacionados a comportamentos e a planejamento de caminhos.…”

Section: Trabalhos Relacionadosunclassified

A Hybrid Model for Simulating Crowd with Varied Behaviors in Real-Time

Dutra¹,

Cavalcante-Neto²,

Vidal³

2011

2011 XIII Symposium on Virtual Reality

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Crowd simulation is a computationally expensive task. Many models to simulate crowds have been developed over the years and can be classified into two big groups (macroscopic and microscopic) according to how the agents are managed. In some macroscopic models the agents are grouped and guided by the potential field of their group. The construction of potential fields is the bottleneck of those models, so it is necessary to use a small number of groups in order for a simulation to run at interactive frame rates. In this article, it is proposed a model based on a macroscopic model, which, mainly, aims at reducing the cost of computing the potential fields of the groups, by using groups discretized according to the needs of the environment. At the same time, it is proposed the addition of groups that can steer the agents of a simulation to momentary goals, which gives the crowd a wider variety of behaviors. Finally, it is proposed the use of a social forces model to prevent collisions between agents and between agents and obstacles. I. INTRODUÇÃOSimulação de Multidãoé uma subárea da Ciência da Computação que consiste em simular o comportamento de vários agentes em um ambiente bidimensional ou tridimensional de forma realista. Modelos que simulam multidões podem ser utilizados em filmes, jogos, simulações de situações de emergência, etc. Em uma simulação, os agentes devem ser capazes de interagir com o ambiente e entre si, seja reagindo a situações, alternando comportamentos ou aprendendo novos comportamentos durante sua "vida". Assim, pode-se perceber que esteé um problema com um alto custo computacional.Os modelos descritos na literatura podem ser classificados em dois grupos (microscópicos ou macroscópicos), de acordo com a forma como os agentes são gerenciados [1]. Os modelos microscópicos são aqueles onde os agentes são caracterizados individualmente e, de acordo com suas interações entre si, fazem emergir comportamentos na multidão. Os modelos macroscópicos são aqueles que procuram simular uma multidão como um todo, onde, por exemplo, um modelo matemáticoé definido e a multidãoé guiada através de sua solução. Em uma multidão, cada pessoa possui suas necessidades e objetivos a seguir. Uma simulação realista deve tentar dar essa variabilidade de objetivos e comportamentos aos agentes. Em modelos microscópicos, adicionar essa variabilidadeé uma tarefa fácil, pois os agentes podem ser modelados individualmente. No entanto, em modelos macroscópicos essaé uma tarefa difícil, pois nesse tipo de modelo os agentes são agrupados em grupos com características semelhantes, e, assim, adicionar individualidade significaria adicionar vários grupos, o que afetaria a performance da simulação podendo levar a aplicação a não executar a taxas de quadros interativas. A escolha de que tipo de modelo usar em uma aplicação irá depender do objetivo que se procura alcançar com a aplicação. Modelos microscópicos são muito utilizados para simular situações de emergência, dada a possibilidade de se reproduzir e analisar situações similares...

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Challenges in Crowd Simulation

Abstract: Abstract

Cited by 31 publications

References 17 publications

Within-crowd immersive evaluation of collision avoidance behaviors

Within-crowd immersive evaluation of collision avoidance behaviors

Exploration & Anthropomorphism in Immersive Unit Visualizations

A Hybrid Model for Simulating Crowd with Varied Behaviors in Real-Time

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