Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/117734
Título: Contour tracking in complex environments using wavelet basis
Autores/as: Pérez Nava, Fernando
Falcón Martel, Antonio 
Clasificación UNESCO: 12 Matemáticas
120326 Simulación
Palabras clave: Pattem recognition
Computer visión
Contour modelling
Wavelets
Tracking
Fecha de publicación: 2000
Editor/a: Universidad de Las Palmas de Gran Canaria (ULPGC) 
Conferencia: International Conference on Modelling and Simulation (MS'2000) 
Resumen: In this paper, a new tracking algorithm for active contours using wavelets is presented. First it is shown how to construct contour descriptions based on a multiscale representation of planar shapes using wavelet basis. Second, in order to model smooth contour transitions between image frames, probabilistic shape priors for modelling contour deformation using wavelets are presented. And finally this new formulation is applied to the problem of tracking a contour in a cluttered environment using stochastic models to predict contour location and appearance in successive image frames. These three components are integrated in the Condensation (Conditional Density Propagation) tracking algorithm which is specially designed to work in cluttered environments. Computational results are given for two real image problems and show that this formulation successfuUy tracks the objects in the image sequences.
URI: http://hdl.handle.net/10553/117734
ISBN: 84-95286-59-9
Fuente: Proceedings of MS'2000 international conference on modelling and simulation / Ed. Rosario Berriel Martínez, p. 671-678
Colección:Actas de congresos
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