Stream-based animation of real-time crowd scenes
Wayne Daniel Lister, Andy Day
In Computers & Graphics, 36(6), 2012.
Abstract: We present a new way of drawing a crowd of animated characters in real-time. Previous work has focused almost exclusively on how to visualize ever larger crowd scenes and the current state-of-the-art can display tens of thousands of virtual humans with ease. The associated trade-off, however, is that crowd members can do little more than play a set of scripted motion clips. It follows that designating individuals to be members of a crowd instantly limits the techniques that can be used, the behaviours that can be depicted and ultimately, the perceived realism of a scene. Our approach differs from the state-of-the-art in that we do not propose a crowd-specific technique but instead a bone-parallel, OpenCL-accelerated interpretation of the traditional character pipeline. The method does not rely on pre-processing; provides fine-grained control over the animation of a crowd (support for motion blending and varied skeletons, for example) and crowd members and user-controlled "hero" characters can be handled without distinction.
Keyword(s): Crowd simulation, Animation, OpenCL
Article URL: http://dx.doi.org/10.1016/j.cag.2012.02.014
BibTeX format:
@article{Lister:2012:SAO,
  author = {Wayne Daniel Lister and Andy Day},
  title = {Stream-based animation of real-time crowd scenes},
  journal = {Computers & Graphics},
  volume = {36},
  number = {6},
  pages = {651--657},
  year = {2012},
}
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