Barrier Coverage in Camera Sensor Networks

Barrier coverage has attracted much attention in the past few years. However, most of the previous works focused on traditional scalar sensors. The authors propose to study barrier coverage in camera sensor networks. One fundamental difference between camera and scalar sensor is that cameras from different positions can form quite different views of the object. As a result, simply combining the sensing range of the cameras across the field does not necessarily form an effective camera barrier since the face image (or the interested aspect) of the object may be missed. To address this problem, they use the angle between the object's facing direction and the camera's viewing direction to measure the quality of sensing.