Realistic modeling of spectator behavior for soccer videogames with CUDA

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Date

2011-12-01

Author

Yılmaz, Erdal
Molla, Eray
Yildiz, Cansin
Isler, Veysi

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Soccer has always been one of the most popular videogame genres. When designing a soccer game, designers tend to focus on the game field and game play due to the limited computational resources, and thus the modelling of virtual spectators is paid less attention. In this study we present a novel approach to the modeling of spectator behavior, which treats each spectator as a unique individual. We also propose an independent software layer for sport-based games that simply obtains the game status from the game engine via a simple messaging protocol and computes the spectator behavior accordingly. The result is returned to the game engine, to be used in the animation and rendering of the spectators. Additionally, we offer a customizable spectator knowledge base with well structured XML to minimize coding efforts, while generating individualized behavior. The employed AI is based on fuzzy inference. In order to overcome additional demand for computing realistic spectator behavior, we use GPU parallel computing with CUDA.

Subject Keywords

Soccer game, Spectator behavior, Crowd simulation, CUDA

URI

https://hdl.handle.net/11511/32537

Journal

COMPUTERS & GRAPHICS-UK

DOI

https://doi.org/10.1016/j.cag.2011.10.001

Collections

Graduate School of Natural and Applied Sciences, Article

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Citation Formats

E. Yılmaz, E. Molla, C. Yildiz, and V. Isler, “Realistic modeling of spectator behavior for soccer videogames with CUDA,” COMPUTERS & GRAPHICS-UK, pp. 1063–1069, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32537.