Morphable Crowds

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 naturallooking 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 spatiotemporal behavior can be reconstructed and interpolated at an arbitrary scale using our morphable model.


Eunjung Ju, Myung Geol Choi, Minji Park, Jehee Lee, Kang Hoon Lee, Shigeo Takahashi
Morphable Crowds
ACM Transactions on Graphics (SIGGRAPH ASIA 2010) Vol.29, No. 6, Dec 2010

Paper download [pdf] (15M)
Supplemental Document download [pdf] (9M)


Video download [mov] (59.5M)
Supplemental Video download [mov] (18M)

Crowd Data

I open captured crowd data which we used and synthesized crowd data which we demonstrated in this work. You can download all data in this page.

This page is maintained by Eunjung Ju, and last updated at Sep 27, 2010.