In any surveillance or remote monitoring system, the location and configuration/orientation of directed optical
sensors is critical for efficient resource utilization as well as correct system behavior. In this paper we introduce a
method to determine the set of configurations (pan-tilt-zoom) for a system of cameras in a given a 3D environment
with well-characterized human activity. The mainstay of our method is a metric that measures the ground plane
coverage by a sensor. Our goal is to seek configurations that provide maximal coverage of areas in a scene that
have been deemed important or have intense human activity. Our method was deployed on a portion large urban
campus covering a region with multiple buildings, sidewalks, trees and other occluding objects. We built a 3D
CAD model of the environment and tested our method on a system of six pan-tilt-zoom cameras. We used
activity information gathered from surveillance of the environment to determine the coverage requirements. The
resulting sensor configurations satisfied the real-world security and surveillance concerns of the environment.
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