Open Access

Iterative Object Localization Algorithm Using Visual Images with a Reference Coordinate

  • Kyoung-Su Park1,
  • Jinseok Lee1,
  • Milutin Stanaćević1,
  • Sangjin Hong1 and
  • We-Duke Cho2Email author
EURASIP Journal on Image and Video Processing20082008:256896

DOI: 10.1155/2008/256896

Received: 29 July 2007

Accepted: 4 July 2008

Published: 20 July 2008

Abstract

We present a simplified algorithm for localizing an object using multiple visual images that are obtained from widely used digital imaging devices. We use a parallel projection model which supports both zooming and panning of the imaging devices. Our proposed algorithm is based on a virtual viewable plane for creating a relationship between an object position and a reference coordinate. The reference point is obtained from a rough estimate which may be obtained from the preestimation process. The algorithm minimizes localization error through the iterative process with relatively low-computational complexity. In addition, nonlinearity distortion of the digital image devices is compensated during the iterative process. Finally, the performances of several scenarios are evaluated and analyzed in both indoor and outdoor environments.

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Authors’ Affiliations

(1)
Mobile Systems Design Laboratory, Department of Electrical and Computer Engineering, Stony Brook University
(2)
Department of Electronics Engineering, College of Information Technology, Ajou University

Copyright

© Kyoung-Su Park et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.