Morphable crowds

  • Authors:
  • Eunjung Ju;Myung Geol Choi;Minji Park;Jehee Lee;Kang Hoon Lee;Shigeo Takahashi

  • Affiliations:
  • Seoul National University;Seoul National University;Seoul National University;Seoul National University;Kwangwoon University;The University of Tokyo

  • Venue:
  • ACM SIGGRAPH Asia 2010 papers
  • Year:
  • 2010

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Abstract

Crowd simulation has been an important research field due to its diverse range of applications that include film production, military simulation, and urban planning. A challenging problem is to provide simple yet effective control over captured and simulated crowds to synthesize intended group motions. We present a new method that blends existing crowd data to generate a new crowd animation. The new animation can include an arbitrary number of agents, extends for an arbitrary duration, and yields a natural-looking mixture of the input crowd data. The main benefit of this approach is to create new spatio-temporal crowd behavior in an intuitive and predictable manner. It is accomplished by introducing a morphable crowd model that allows us to encode the formations and individual trajectories in crowd data. Then, its original spatio-temporal behavior can be reconstructed and interpolated at an arbitrary scale using our morphable model.