Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/8224

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
Fuzzy
Issue date23-Jul-2007
PublisherIEEE
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
URIhttp://hdl.handle.net/1822/8224
ISBN9781424408504
DOI10.1109/INDIN.2007.4384789
ISSN1935-4576
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals
DEI - Artigos em atas de congressos internacionais

Files in This Item:
File Description SizeFormat 
INDIN2007_04384789.pdfMain article679,25 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID