Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
A Parallel Feature Tracker for Extended Image Sequences

Richard Szeliski, Sing Bing Kang, and Heung-Yeung Shum


This paper presents a feature tracker for long image sequences based on simultaneously estimating the motions and deformations of a collection of adjacent image patches. By sharing common corner nodes, the patches achieve greater stability than independent patch trackers. Modeling full bilinear deformations enables tracking in sequences which have large non-translational motions and/or foreshortening effects. We demonstrate the advantages of our technique with respect to previous algorithms using experimental results.


Publication typeInproceedings
Published inIEEE International Symposium on Computer Vision
AddressCoral Gables
PublisherIEEE Computer Society
> Publications > A Parallel Feature Tracker for Extended Image Sequences