IPSJ Transactions on Computer Vision and Applications
Online ISSN : 1882-6695
ISSN-L : 1882-6695
Incorrect Feature Tracking Detection by Affine Space Fitting
Chika TakadaYasuyuki Sugaya
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2009 Volume 1 Pages 174-182

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Abstract

We present a new method for detecting incorrect feature point tracking. In this paper, we detect incorrect feature point tracking by imposing the constraint that under the affine camera model feature trajectories should be in an affine space in the parameter space. Introducing a statistical model of image noise, we test detected partial trajectories are sufficiently reliable. Then we detect incorrect partial trajectories. Using real video images, we demonstrate that our proposed method can detect incorrect feature point tracking fairly well.

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© 2009 by the Information Processing Society of Japan
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