Coverage enhancement for deployment of multi-camera networks

The deployment of multi-camera networks is usually accomplished by maximizing the covered area, while the coverage strength is difficult to be optimized simultaneously. We propose a coverage enhancement approach in this paper to improve the coverage strength of three-dimensional (3D) scenes, by using convex optimization approach to refine the initial deployment. The 3D scene is represented by a triangle mesh, with each triangle being a basic atomic unit. In addition, the sensing range of a single camera is modeled as a visual frustum. Frobenius distance and Euclidean distance between a triangle unit and a visual frustum, are novelly introduced to reflect the camera-to-triangle coverage strength. On this basis, the coverage enhancement is accomplished by minimizing the sum of squares of these two distances. Due to the use of the Frobenius distance and Euclidean distance, it is shown that the problem can be solved by convex optimization techniques. Comparative simulation results are presented to verify the effectiveness of the proposed approach.