Single view geometry and active camera networks made easy
Pages 55 - 60
Abstract
Active camera networks have an important role in surveillance systems for forensic analysis. They have the ability to direct the attention to interesting events that occur in the scene. In order to achieve such behavior the cameras in the network use a process known as sensor slaving where at least two cameras are in a master-slave configuration. The master camera monitors a wide area and tracks moving targets in order to provide the positional information to the slave camera, and the slave camera points toward the targets in high resolution.
In this paper, we propose a simple method to solve two typical problems that are the basic building blocks to create high level functionality in active camera networks viewing a scene plane: the computation of the world to image homographies and the computation of image to image homographies. The first is used for computing image sensors observation model for sequential target tracking (for example with the Extended Kalman Filter). The second is used for camera slaving. We show how planar mosaic and single view geometry can be used to compute the aforementioned homographies.
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Index Terms
- Single view geometry and active camera networks made easy
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Published: 23 October 2009
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