EURASIP Journal on Image and Video Processing
Volume 2008 (2008), Article ID 256896, 16 pages
doi:10.1155/2008/256896
Research Article

Iterative Object Localization Algorithm Using Visual Images with a Reference Coordinate

Kyoung-Su Park,1 Jinseok Lee,1 Milutin Stanaćević,1 Sangjin Hong,1 and We-Duke Cho2

1Mobile Systems Design Laboratory, Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA
2Department of Electronics Engineering, College of Information Technology, Ajou University, Suwon 443-749, South Korea

Received 29 July 2007; Revised 11 March 2008; Accepted 4 July 2008

Academic Editor: Carlo Regazzoni

Copyright © 2008 Kyoung-Su Park et al. 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.

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.