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Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the
 

Summary: Abstract
Most existing camera placement algorithms focus on
coverage and/or visibility analysis, which ensures that the
object of interest is visible in the camera's field of view
(FOV). However, visibility, a fundamental requirement of
object tracking, is insufficient for persistent and automated
tracking. In such applications, a continuous and
consistently labeled trajectory of the same object should be
maintained across different cameras' views. Therefore, a
sufficient overlap between the cameras' FOVs should be
secured so that camera handoff can be executed successfully
and automatically before the object of interest becomes
untraceable or unidentifiable. The proposed sensor
planning method improves existing algorithms by adding
handoff rate analysis, which preserves necessary
overlapped FOVs for an optimal handoff success rate. In
addition, special considerations such as resolution and
frontal view requirements are addressed using two
approaches: direct constraint and adaptive weight. The
resulting camera placement is compared with a reference

  

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