Crowd modelling in collaborative virtual environments

Musse, Soraia Raupp; Babski, Christian; Çapın, Tolga; Thalmann, Daniel

doi:10.1145/293701.293716

Cited by 56 publications

(40 citation statements)

References 11 publications

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“…In Shao and Terzopoulus, the actions of the agents are not limited to the movements but also introduce some interactions between the agents as well as between the agents and the environment, such as 'buy a ticket', 'sit and watch the play', etc. Musse et al's ViCrowd [178,235] generates crowds based on group properties rather than individuals. These have knowledge about the world and are equipped with a system of beliefs, desires and intentions in the form of goals, internal status and information about the world.…”

Section: Autonomous Agent Approachmentioning

confidence: 99%

On Computational Ecosystems in Media Arts

Antunes

2016

Leonardo

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DECLARATIONI hereby declare that I composed this thesis entirely myself and that it describes my own research.Rui Filipe Nicolau Lima Antunes 10th of October, 2013 2 This research is an exploration of issues surrounding the artistic production of Computational Ecosystems. A Computational Ecosystem is a system of agents designed to emulate, in the computer, biological systems where autonomous individuals are organized in a hierarchical food chain and interact by trading units of energy. This thesis maps out this field and examines the modes of production and functions of these systems. The central claim is focused on how the narratives normally associated with these systems and their functioning are two complementary, but separate entities. By virtue of considering these separately the computational ecosystem is argued to be an abstract generative engine for heterogeneity, spontaneity, and even novelty. It is contended that the set of methods of production developed by exploratory artists using these artefacts might be instrumentalized as generative methods for the animation of general purpose non-player characters in virtual worlds.

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Section: Autonomous Agent Approachmentioning

confidence: 99%

On Computational Ecosystems in Media Arts

Antunes

2016

Leonardo

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“…Musse et al [4] encapsulate many of these observations in their three rules for group behaviour: 1. Members of groups walk at the same speed; 2.…”

Section: High Level Models Of Crowd Motionmentioning

confidence: 99%

“…Group Behaviours Individuals within a crowd often seem to be influenced by the movements of groups around them [3,4]. For the purposes of our prototype IED simulator a group consists of between 2 and 8 people [12].…”

Section: Collision Avoidancementioning

confidence: 99%

Using mathematical models to guide the simulation of improvised explosive devices in public spaces

Nilsen-Nygaard

Johnson

2008

3rd IET International Conference on System Safety 2008

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Terrorist attacks, for example in Madrid and London, have increased concern over the threat that Improvised Explosive Devices (IEDs) pose to public safety. Insurgent groups in Iraq and Afghanistan have developed relatively sophisticated tactics, including the use of synchronised attacks with multiple devices that have not yet been witnessed in Europe or North America. Some of these approaches specifically target the fire and rescue services. Computer simulations provide tools that can be used to plan the response to potential attacks. They can be used to work through a range of scenarios so that emergency personnel minimise their vulnerability and mitigate the threat posed to the general public. However, it can be difficult to simulate the range of human behaviours that are seen in the aftermath of terrorist attacks. Similarly, it is unclear how to develop appropriate blast and fragmentation models that capture a range of future Improvised Explosive Devices. The following pages present a brief overview of mathematical models that are being integrated into simulation tools to address these problems.

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“…Action points and interest points were introduced for modelling path nodes and goal locations by Musse et al [11,14,15]. These points allow agents to walk and interact with the environment.…”

Section: Introductionmentioning

confidence: 99%

Modelling Goal Selection of Characters in Primary Groups in Crowd Simulations

Jayalath¹,

Wimalaratne²,

Karunananda³

2016

Int. j. simul. model.

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This work presents an agent based behavioural model that simulates decision making ability of individual characters of primary social groups in crowd simulations. The proposed approach includes a decision function which is used by each character in order to select the most appropriate goal from a list of predefined goals. This decision function selects a goal for an agent by evaluating attractions to goals, distance to goals, decisions of fellow companions in the agent's group, and attractions towards such companions. The behavioural realism of this model was evaluated through a series of experiments that compared parameters of real world scenarios with their simulated counterparts. The level of realism at which the model simulates characters is suitable for crowd simulations in entertainment related applications such as video games and movies. Further, the profiling of the algorithm shows that the approach is capable of being deployed in real-time applications such as video games.

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Crowd modelling in collaborative virtual environments

Cited by 56 publications

References 11 publications

On Computational Ecosystems in Media Arts

On Computational Ecosystems in Media Arts

Using mathematical models to guide the simulation of improvised explosive devices in public spaces

Modelling Goal Selection of Characters in Primary Groups in Crowd Simulations

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