Visual sensor networks (VSNs) are networks made up of a possibly large number of cameras that together monitor an area or targets of interest. In VSNs, camera coverage control is necessary to allow automatic tracking of targets without human intervention, allowing these systems to scale. In this paper, we consider the problem of automatic control of cameras to maximize the number of targets covered. This is an NP-hard problem, and efficient centralized and semi-centralized heuristics exist that

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... provide near-optimal performance. However, such schemes are hard to scale with the size of the network, and thus demand for efficient distributed solutions. The existing distributed approach results in significantly less coverage, compared to the optimal. In this paper, we extend the existing approach by considering inter-dependencies among cameras and target distributions, and show that the proposed techniques significantly improve the performance of the distributed solution.