Tracking system using texture cue based on wavelet transform
Manuel João Ferreira, Cristina P. Santos · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2006
Abstract: This paper presents an approach for tracking objects whose principal discriminate characteristic is its texture. The presented system extracts texture features based on the wavelet transform and uses a fuzzy grammar classifier. The feature vector consists of 6 characteristics extracted from the wavelet detail images. The overall system was integrated on the platform developed by sony – AIBO robot. This application ensures a real time tracking approach and can be parameterized in order to be flexible in face of different types of texture.