An active mesh based tracker for improved feature correspondences

Authors:
A. Griffin;J. Kittler
Affiliations:
Centre for Vision, Speech and Signal Processing, School of Electronics, Computing and Mathematics, University of Surrey, Guildford GU2 7XH, UK;Centre for Vision, Speech and Signal Processing, School of Electronics, Computing and Mathematics, University of Surrey, Guildford GU2 7XH, UK
Venue:
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Year:
2002

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Abstract

In applications such as video mosaicing, foreground/background separation and camera pose estimation, feature correspondences are the fundamental building blocks upon which the method operates. The success or failure of these methods depends strongly on the quality of the feature correspondences obtained from the video sequence. We present a method that attempts to improve the quality of feature matches in cases when the video sequence is rich in perspective effects and 3-d camera induced motion from static scenes. This is achieved by fitting an active mesh to the sequence and then matching not features but mesh induced planar patches. The optic flow of each mesh element votes for the overall motion of its corner points to achieve a high quality fit of the mesh to each subsequent frame. We find that we obtain feature correspondences that allow us to fit 3-d metrics to a higher degree of accuracy than that obtained when using a standard feature tracker.