  In this paper, a new concept, radial coverage strength, is first proposed to
characterize the visual sensing performance when the orientation of the target
pose is considered. In particular, the elevation angle of the optical pose of
the visual sensor is taken to decompose the visual coverage strength into
effective and ineffective components, motivated by the imaging intuition. An
optimization problem is then formulated for a multi-camera network to maximize
the coverage of the object area based on the strength information fusion along
the effective coverage strength direction through the deployment of the angle
between radial coverage vector of the camera optical pose. Both simulation and
experiments are conducted to validate the proposed approach and comparison with
existing methods is also provided.
