Achieving Full View Coverage with Randomly-Deployed Heterogeneous Camera Sensors

A brand-new concept about the coverage problem of camera sensor networks, full view coverage, has been proposed recently to judge whether an object's face is guaranteed to be captured. It is specially significant for camera networks since image shot at the frontal viewpoint considerably increases the possibility to recognize the object. In this paper, we investigate the necessary and sufficient conditions to achieve full view coverage under two random deployment schemes, uniform deployment and Poisson deployment. In uniform deployment, we define a centralized parameter - critical sensing area (CSA) - to evaluate the total requirements to reach symptotic full view coverage for all heterogeneous sensors in the network. In Poisson deployment, we develop the probability for a point to be full view covered. Our results reveal that under uniform deployment, whether full view coverage is achieved depends largely on the area of the sensing region, rather than its shape.