poster

The hierarchical behavior model for crowd simulation

Authors:

Libo Sun,

Yan Liu,

Jizhou Sun,

Lin BianAuthors Info & Claims

VRCAI '09: Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry

Pages 279 - 284

https://doi.org/10.1145/1670252.1670313

Published: 14 December 2009 Publication History

Get Access

Abstract

We present a hierarchical behavior model to simulate realistic crowd behaviors. This model is composed of two parts. One is the low density behavior module, emphasizing the autonomy and diversity of the behaviors. The other is high density behavior module, paying attention to showing the flocking instincts of the crowd. We design a new mechanism to schedule them to generate appropriate behaviors based on the crowd density. We also take into account the impact of the crowd density on the motion speed and provide an interface for the users to control the motions of the crowd. The experimental results show that our hierarchical behavior model not only well reflects the characteristics of the human behaviors, but also shows plausible crowd behaviors to respond properly to certain event.

References

[1]

Chenney, S. 2004. Flow tiles. In SCA '04: Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation, Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, 233--242.

Digital Library

Google Scholar

[2]

Helbing, D., Farkas, I., and Vicsek, T., 2000. Simulating dynamical features of escape panic, Sep.

Google Scholar

[3]

Pelechano, N., Allbeck, J. M., and Badler, N. I. 2007. Controlling individual agents in high-density crowd simulation. In SCA '07: Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation, Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, 99--108.

Digital Library

Google Scholar

[4]

Pelechano Gomez, N. 2006. Modeling realistic high density autonomous agent crowd movement: social forces, communication, roles and psychological influences. PhD thesis, Philadelphia, PA, USA. Adviser-Badler, Norman I.

Digital Library

Google Scholar

[5]

Reynolds, C. W. 1987. Flocks, herds and schools: A distributed behavioral model. SIGGRAPH Comput. Graph. 21, 4 (July), 25--34.

Digital Library

Google Scholar

[6]

Treuille, A., Cooper, S., and Popović, Z. 2006. Continuum crowds. In SIGGRAPH '06: ACM SIGGRAPH 2006 Papers, ACM Press, New York, NY, USA, 1160--1168.

Digital Library

Google Scholar

[7]

Tu, X., and Terzopoulos, D. 1994. Artificial fishes: Physics, locomotion, perception, behavior. Computer Graphics 28, Annual Conference Series, 43--50.

Digital Library

Google Scholar

[8]

Tyrrell, T. 1992. Defining the action selection problem. In the Fourteenth Annual Conf. of the Cognitive Society, Lawrence Erlbaum Associates, 1152--1157.

Google Scholar

[9]

Zuli, M. 1990. An Introduction to Behavior. Nankai University Press.

Google Scholar

Cited By

View all

Sharbini HBade A(2010)Modification of crowd behaviour modelling under microscopic level in panic situationProceedings of the Third international conference on Motion in games10.5555/1948395.1948441(351-362)Online publication date: 14-Nov-2010
https://dl.acm.org/doi/10.5555/1948395.1948441
Sharbini HBade A(2010)Modification of Crowd Behaviour Modelling under Microscopic Level in Panic SituationMotion in Games10.1007/978-3-642-16958-8_33(351-362)Online publication date: 2010
https://doi.org/10.1007/978-3-642-16958-8_33

Index Terms

The hierarchical behavior model for crowd simulation
1. Computing methodologies
  1. Computer graphics
    1. Animation

Recommendations

Crowd modeling and simulation technologies

As a collective and highly dynamic social group, the human crowd is a fascinating phenomenon that has been frequently studied by experts from various areas. Recently, computer-based modeling and simulation technologies have emerged to support ...
Accounting for patterns of collective behavior in crowd locomotor dynamics for realistic simulations
Transactions on Edutainment VII

Do people in a crowd behave like a set of isolated individuals or like a cohesive group? Studies of crowd modeling usually consider pedestrian behavior either from the point of view of an isolated individual or from that of large swarms. We introduce ...
A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling
SIGSIM-PADS '16: Proceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

In this paper, we propose a role-dependent data-driven modeling approach to simulate pedestrians' motion in high density scenes. It is commonly observed that pedestrians behave quite differently when walking in dense crowd. Some people explore routes ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

VRCAI '09: Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry

December 2009

374 pages

ISBN:9781605589121

DOI:10.1145/1670252

Editor:
Stephen N. Spencer
University of Washington
,
General Chairs:
Masayuki Nakajima
Tokyo Institute of Technology, Japan
,
Enhua Wu
University of Macau & Academia Sinica, China
,
Program Chairs:
Kazunori Miyata
JAIST, Japan
,
Daniel Thalmann
Ecole Polytechnique Federale de Lausanne, Switzerland
,
Zhiyong Huang
Institute for Infocomm Research, Singapore

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 December 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Poster

Funding Sources

Technologies Research and Development Cultivation Program of Tianjin
Applied Basic Research and Cutting-Edge Technology Research Scheme of Tianjin

Conference

VRCAI '09

Sponsor:

SIGGRAPH

VRCAI '09: Virtual Reality Continuum and its Applications in Industry

December 14 - 15, 2009

Yokohama, Japan

Acceptance Rates

Overall Acceptance Rate 51 of 107 submissions, 48%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
290
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sharbini HBade A(2010)Modification of crowd behaviour modelling under microscopic level in panic situationProceedings of the Third international conference on Motion in games10.5555/1948395.1948441(351-362)Online publication date: 14-Nov-2010
https://dl.acm.org/doi/10.5555/1948395.1948441
Sharbini HBade A(2010)Modification of Crowd Behaviour Modelling under Microscopic Level in Panic SituationMotion in Games10.1007/978-3-642-16958-8_33(351-362)Online publication date: 2010
https://doi.org/10.1007/978-3-642-16958-8_33

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Crowd modeling and simulation technologies

Accounting for patterns of collective behavior in crowd locomotor dynamics for realistic simulations

A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling