Original Article

The Visual Computer

, Volume 25, Issue 5, pp 451-459

First online:

An information theoretic approach to camera control for crowded scenes

  • Cagatay TurkayAffiliated withComputer Graphics Laboratory, Sabanci University Email author 
  • , Emre KocAffiliated withComputer Graphics Laboratory, Sabanci University
  • , Selim BalcisoyAffiliated withComputer Graphics Laboratory, Sabanci University

Rent the article at a discount

Rent now

* Final gross prices may vary according to local VAT.

Get Access


Navigation and monitoring of large and crowded virtual environments is a challenging task and requires intuitive camera control techniques to assist users. In this paper, we present a novel automatic camera control technique providing a scene analysis framework based on information theory. The developed framework contains a probabilistic model of the scene to build entropy and expectancy maps. These maps are utilized to find interest points which represent either characteristic behaviors of the crowd or novel events occurring in the scene. After an interest point is chosen, the camera is updated accordingly to display this point. We tested our model in a crowd simulation environment and it performed successfully. Our method can be integrated into existent camera control modules in computer games, crowd simulations and movie pre-visualization applications.


Automatic camera control Information Theory Crowds