An information theoretic approach to camera control for crowded scenes

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Turkay, Çağatay and Koç, Emre and Balcısoy, Selim (2009) An information theoretic approach to camera control for crowded scenes. Visual Computer, 25 (5-7). pp. 451-459. ISSN 0178-2789 (Print) 1432-2315 (Online)

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Official URL: http://dx.doi.org/10.1007/s00371-009-0337-1


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.

Item Type:Article
Uncontrolled Keywords:Automatic camera control; Information Theory; Crowds
ID Code:12277
Deposited By:Selim Balcısoy
Deposited On:28 Oct 2009 09:39
Last Modified:23 Jul 2019 12:06

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