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IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS, VOL. 40, NO. 1, FEBRUARY 2010 101 Can You See Me Now? Sensor Positioning for
 

Summary: IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART B: CYBERNETICS, VOL. 40, NO. 1, FEBRUARY 2010 101
Can You See Me Now? Sensor Positioning for
Automated and Persistent Surveillance
Yi Yao, Chung-Hao Chen, Besma Abidi, Senior Member, IEEE, David Page,
Andreas Koschan, Member, IEEE, and Mongi Abidi, Member, IEEE
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, which is a fundamental requirement of object track-
ing, is insufficient for automated persistent surveillance. In such
applications, a continuous consistently labeled trajectory of the
same object should be maintained across different camera views.
Therefore, a sufficient uniform overlap between the cameras'
FOVs should be secured so that camera handoff can successfully
and automatically be executed before the object of interest be-
comes untraceable or unidentifiable. In this paper, we propose
sensor-planning methods that improve existing algorithms by
adding handoff rate analysis. Observation measures are designed
for various types of cameras so that the proposed sensor-planning
algorithm is general and applicable to scenarios with different

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences