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

• Autor(es): Ferreira, Manuel ; Santos, Cristina ; Monteiro, João L.
• Data: 2007
• Identificador Persistente: http://hdl.handle.net/1822/8224
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Racking system using wavelet transform; Fuzzy
• Tipo de Documento: Artigo
• Idioma: Inglês

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.