Abstract
An active contour based tracking framework is described that generates and
integrates dynamic shape information without having to learn a priori shape
constraints. This dynamic shape information is combined with dynamic photometric foreground model matching and background mismatching. Boundary based optical flow is also used to estimate the location of
the object in each new frame, incorporating Procrustes shape alignment.
Promising results under complex deformations of shape, varied levels of
noise, and close-to-complete occlusion in complex textured backgrounds are
presented.
Original language | English |
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Title of host publication | Proceedings of the British Machine Vision Conference 2008 (Leeds, September 2008) |
Editors | Mark Everingham, Chris James Needham, Roberto Fraile |
Publisher | British Machine Vision Association |
Pages | 1-10 |
ISBN (Print) | 9781901725360 |
Publication status | Published - 2008 |