Detalhes do Documento

Texture cue based tracking system using wavelet transform and a fuzzy grammar

Autor(es): Ferreira, Manuel cv logo 1 ; Santos, Cristina cv logo 2 ; Monteiro, João L. cv logo 3

Data: 2007

Identificador Persistente: http://hdl.handle.net/1822/8224

Origem: RepositóriUM - Universidade do Minho

Assunto(s): Racking system using wavelet transform; Fuzzy


Descrição
This paper addresses a system for fast object tracking based on texture cues, by using the wavelet transform and a fuzzy grammar classifier. The method is based on wavelet type features. The feature vector consists of 6 characteristics extracted from the wavelet detail images for each colour component. These texture characteristics automatically generate a fuzzy rule using a fuzzy inference classifier based on a fuzzy grammar. A learning phase is required for each texture but only uses one sample. This 2D tracking system of textured objects in image sequences is demonstrated on a robotic application using the platform developed by Sony – AIBO robot. The application ensures a real time tracking approach and can be parameterized in order to be flexible in face of different types of textures.
Tipo de Documento Artigo
Idioma Inglês
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Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia