Condensation-based contour tracking with Sobolev smoothness priors

Authors:
Fernando Pérez Nava;Antonio Falcón Martel
Affiliations:
Departmento de Estadística, Investigación Operativa y Computación, Universidad de La Laguna, Tenerife, Spain;Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Gran Canaria, Spain
Venue:
Neural, Parallel & Scientific Computations
Year:
2002

Citing 3
Cited 0

Boundary Finding with Parametrically Deformable Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
A framework for spatiotemporal control in the tracking of visual contours

International Journal of Computer Vision
Wavelet descriptor of planar curves: theory and applications

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a combination of contour deformation modelling in Sobolev spaces and the Condensation filter to track an object over a sequence of images. As Sobolev spaces are smoothness spaces this allows to control the smoothness of the contour deformation extending previous wavelet representations. We also introduce a probabilistic model for the wavelet deformation of the contour that induces a prior distribution for contour deformation. The deformation model is used to generate an stochastic dynamic model for contour evolution in time. Computational results are presented that show applications of this formulation.