Approximating Optimal Visual Sensor Placement
Many novel multimedia applications use visual sensor arrays. In this paper we address the problem of optimally placing multiple visual sensors in a given space. Our linear programming approach determines the minimum number of cameras needed to cover the space completely at a given sampling frequency. Simultaneously it determines the optimal positions and poses of the visual sensors. We also show how to account for visual sensors with different properties and costs if more than one kind is available, and report performance results.