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Due to the capacity of pan-tilt-zoom (PTZ) cameras to simultaneously cover a panoramic area and maintain high
 

Summary: Abstract
Due to the capacity of pan-tilt-zoom (PTZ) cameras to
simultaneously cover a panoramic area and maintain high
resolution imagery, researches in automated surveillance
systems with multiple PTZ cameras have become
increasingly important. Most existing algorithms require
the prior knowledge of intrinsic parameters of the PTZ
camera to infer the relative positioning and orientation
among multiple PTZ cameras. To overcome this
limitation, we propose a novel mapping algorithm that
derives the relative positioning and orientation between
two PTZ cameras based on a unified polynomial model.
This reduces the dependence on the knowledge of intrinsic
parameters of PTZ camera and relative positions.
Experimental results demonstrate that our proposed
algorithm presents substantially reduced computational
complexity and improved flexibility at the cost of slightly
decreased pixel accuracy, as compared with the work of
Chen and Wang. This slightly decreased pixel accuracy
can be compensated by consistent labeling approaches

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee
Koschan, Andreas - Imaging, Robotics, and Intelligent Systems, University of Tennessee

 

Collections: Computer Technologies and Information Sciences; Engineering