On-line configuration of large scale surveillance networks using mobile smart camera

Distributed camera networks represent an emerging trend for the incorporation of mobile smart cameras in next generation large-scale surveillance systems. To achieve the great benefits of mobile smart camera, two challenging issues, the limited computational capabilities of a smart camera and the energy constraints of its battery-powered mobile platform, should be faced. This paper investigates the computation-efficient algorithm for the on-line network configuration, and the energy-saving method to implement this configuration.We design DMSA, a distributed mean-shift based heuristic algorithm for optimal coverage in dynamic surveillance environment. DMSA presents a distributed camera configuration for adapting the varying surveillance requirement, which achieves computation efficiency as well as coverage performance by exploiting on the tracking-inspired local search and cluster-based cooperating coverage. Furthermore, we propose a point corresponding method to implement the dynamic configuration. The aims are to minimize the over-all energy consumption in implementing configuration and balance the energy distribution among camera nodes, which results in the extension of network's lifetime. Simulation results highlight the proposed solution's quick-response feature with respect to the related heuristic algorithm, and exhibit the solution's potential to prolong network's lifetime.