Surveillance camera scheduling: a virtual vision approach
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
An inhomogeneous spatial node distribution and its stochastic properties
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
Scalable target coverage in smart camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
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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 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.