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Content Provider | IEEE Xplore Digital Library |
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Author | Kayumbi, G. Cavallaro, A. |
Copyright Year | 2007 |
Description | Author affiliation: London Univ., London (Kayumbi, G.; Cavallaro, A.) |
Abstract | In this paper we present a robust image registration algorithm for the estimation of extended object trajectories in a distributed camera setting. The registration algorithm is based on a statistical homography estimation that accounts for errors related to the estimation of the homography matrix. Unlike traditional approaches based on singular value decomposition (SVD), we derive a planar homography estimation from the renormalization technique. We demonstrate the proposed algorithm with the generation of the mosaic of the observed scene as well as with the registration of the spatial locations of moving objects (trajectories) from multiple cameras. Finally, we compare the transformed trajectories with those obtained with the homography estimated by SVD and least mean square (LMS) methods and discuss the improvement in terms of spatial accuracy using objective evaluation metrics on standard test sequences. |
Starting Page | 59 |
Ending Page | 66 |
File Size | 3641670 |
Page Count | 8 |
File Format | |
ISBN | 9781424413539 |
DOI | 10.1109/ICDSC.2007.4357506 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-09-25 |
Publisher Place | Austria |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image registration Transmission line matrix methods image registration Matrix decomposition Least squares approximation trajectory transformation Image analysis Layout mosaic Cameras homography Robustness Singular value decomposition Testing |
Content Type | Text |
Resource Type | Article |
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