Detecting Incorrect Feature Tracking by Affine Space Fitting

Authors:
Chika Takada;Yasuyuki Sugaya
Affiliations:
Department of Information and Computer Sciences, Toyohashi University of Technology, Toyohashi, Japan 441-8580;Department of Information and Computer Sciences, Toyohashi University of Technology, Toyohashi, Japan 441-8580
Venue:
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Year:
2009

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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.