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  • Research Article
  • Open Access

Multiview Trajectory Mapping Using Homography with Lens Distortion Correction

EURASIP Journal on Image and Video Processing20082008:145715

  • Received: 17 March 2008
  • Accepted: 8 September 2008
  • Published:


We present a trajectory mapping algorithm for a distributed camera setting that is based on statistical homography estimation accounting for the distortion introduced by camera lenses. Unlike traditional approaches based on the direct linear transformation (DLT) algorithm and singular value decomposition (SVD), the planar homography estimation is derived from renormalization. In addition to this, the algorithm explicitly introduces a correction parameter to account for the nonlinear radial lens distortion, thus improving the accuracy of the transformation. We demonstrate the proposed algorithm by generating mosaics of the observed scenes and by registering the spatial locations of moving objects (trajectories) from multiple cameras on the mosaics. Moreover, we objectively compare the transformed trajectories with those obtained by SVD and least mean square (LMS) methods on standard datasets and demonstrate the advantages of the renormalization and the lens distortion correction.


  • Spatial Location
  • Singular Value Decomposition
  • Little Mean Square
  • Mapping Algorithm
  • Full Article

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Authors’ Affiliations

Multimedia and Vision Group, Department of Electronic Engineering, Queen Mary University of London, Mile End Road, London, E1 4NS, UK


© G. Kayumbi and A. Cavallaro. 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.