Object Coverage with Camera Rotation in Visual Sensor Networks

Abstract

In this paper, an object coverage algorithm in visual sensor networks is proposed. When sensors equipped camera with rotating capability in the monitoring environment are deployed randomly, the images of target object with circle shape may be captured by different camera nodes in different orientations at the same time. In order to achieve the full coverage of objects, there might be lots of redundant image data to consume the transmission energy in visual sensor networks. An approach is proposed to solve this problem. It is tried to reduce the cover set of camera nodes by rotating camera of sensors. Such set can cover the maximum angle of view of the object. In addition, a mapping is proposed for find out the coverage problem for target objects with convex polygons. Therefore, by applying the proposed algorithm, cameras can capture images of the convex polygon object in terms of circle. The simulation results show that our approach can reduce the number of sensors while preserving the maximum coverage range of object.