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Sensor Planning for PTZ Cameras Using the Probability of Camera Overload Yi Yao, Chung-Hao Chen, Besma Abidi, David Page, Andreas Koschan, and Mongi Abidi
 

Summary: Sensor Planning for PTZ Cameras Using the Probability of Camera Overload
Yi Yao, Chung-Hao Chen, Besma Abidi, David Page, Andreas Koschan, and Mongi Abidi
Imaging, Robotics and Intelligent Systems (IRIS) Lab
University of Tennessee, Knoxville
Abstract
Most existing sensor planning algorithms find it
difficult to tackle the discrepancy between a PTZ
camera's limited instant field of view (FOV) and
panoramic achievable FOV. In this paper, we
introduce the probability of camera overload to
resolve this discrepancy and present a sensor
planning algorithm for PTZ cameras under the same
framework as static cameras. The resulting camera
placement achieves the optimal balance between
coverage and handoff success rate. Furthermore, our
algorithm is able to incorporate the target's
dynamics into sensor planning. As a result, the
system's handoff success rate can be maintained in
environments with various target densities.
Experimental results and comparisons with a

  

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