Modeling groups of plausible virtual pedestrians

Christopher Peters; Cathy Ennis

doi:10.1109/MCG.2009.69

Modeling groups of plausible virtual pedestrians

Christopher Peters, Cathy Ennis

Research output: Contribution to journal › Article › peer-review

Abstract

In a proposed methodology for modeling dynamic crowd scenarios, a video corpus informs the modeling process, after which the resultant animations undergo perception-based evaluation. The aim is to improve the crowd's visual plausibility rather than the simulation's correctness. A real-life crowd animation system demonstrates the methodology's practical application.

Original language	English
Pages (from-to)	54-63
Number of pages	10
Journal	IEEE Computer Graphics and Applications
Volume	29
Issue number	4
DOIs	https://doi.org/10.1109/MCG.2009.69
Publication status	Published - 2009
Externally published	Yes

Keywords

Animation
Computational modeling
Computer graphics
Crowd simulation
Data mining
Legged locomotion
Navigation
Presses
Viewer perception

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10.1109/MCG.2009.69

https://arrow.tudublin.ie/aircart/5Licence: CC BY-NC-SA

Cite this

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KW - Computational modeling

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KW - Data mining

KW - Legged locomotion

KW - Navigation

KW - Presses

KW - Viewer perception

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Modeling groups of plausible virtual pedestrians

Abstract

Keywords

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