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TitleTexture cue based tracking system using wavelet transform and a fuzzy grammar
Author(s)Ferreira, Manuel João Oliveira
Santos, Cristina
Monteiro, João L.
KeywordsRacking system using wavelet transform
Issue date23-Jul-2007
JournalIeee International Conference on Industrial Informatics (indin)
CitationINTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, 5, Vienna, 2007 – “IEEE - International Conference on Industrial Informatics”. [S.l. : s.n., 2007]. p. 398-398.
Abstract(s)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.
TypeConference paper
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals
DEI - Artigos em atas de congressos internacionais

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