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Cameras are becoming a common tool for automated vision purposes due to their low cost. Many surveillance and inspection systems include cameras as their sensor of choice. How useful these camera systems are is very dependent upon the positioning of the cameras. This is especially true if the cameras are to be used in automated systems as a beneficial camera placement will simplify image processing operations. Therefore, a reliable positioning algorithm can lower the processing requirements of the system. In this paper several considerations for improving camera placement are investigated with the goal of developing a general algorithm that can be applied to a variety of systems. This paper presents this algorithm for placement problem in the context of computer vision and robotics. Simulated results of our method are then shown and discussed, along with an outline of future work.

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