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Cited by 263

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A Model of Human Crowd Behavior : Group Inter-Relationship and Collision Detection Analysis

Musse, S. R., Thalmann, D.·1997·Eurographics
DOI 10.1007/978-3-7091-6874-5_3
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Abstract

This paper presents a model of crowd behavior to simulate the motion of a generic population in a specific environment. The individual parameters are created by a distributed random behavioral model which is determined by few parameters. This paper explores an approach based on the relationship between the autonomous virtual humans of a crowd and the emergent behavior originated from it. We have used some concepts from sociology to represent some specific behaviors and represent the visual output. We applied our model in two applications: a graphic called sociogram that visualizes our population during the simulation, and a simple visit to a museum. In addition, we discuss some aspects about human crowd collision.

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Metadata

Authors
Musse, S. R., & Thalmann, D.
Venue
Eurographics
Publisher
Springer Vienna
Published
1997
Pages
39-51
ISSN
0946-2767 (ISSN-L)
DOI
10.1007/978-3-7091-6874-5_3
OpenAlex
W1555079265
Cited by
263
References
0
FWCI
6.67
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Model of Human Crowd Behavior : Group Inter-Relationship and Collision Detection Analysis. https://app.cochat.ai/papers/10.1007/978-3-7091-6874-5_3
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Musse, S. R., & Thalmann, D. (1997). A Model of Human Crowd Behavior : Group Inter-Relationship and Collision Detection Analysis. Eurographics. https://doi.org/10.1007/978-3-7091-6874-5_3

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.