Dynamic curve estimation for visual tracking

Dynamic curve estimation for visual tracking

This thesis tackles the visual tracking problem as a target contour estimation problem in the face of corrupted measurements. The major aim is to design robust recursive curve filters for accurate contour-based tracking. The state-space representation adopted comprises of a group component and a sha...

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Bibliographic Details
Main Author: Ndiour, Ibrahima Jacques
Published: Georgia Institute of Technology 2011
Subjects:
Recursive Bayesian filtering
Optimal estimation
Contour tracking
Visual tracking
Shape
Curve
Filtering
Observer
Segmentation
Computer vision
Image processing
Pattern perception
Pattern recognition systems
Online Access:http://hdl.handle.net/1853/37283

Internet

http://hdl.handle.net/1853/37283

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