Texture cue based tracking system using wavelet transform and a fuzzy grammar
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 compone...
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| Other Authors: | , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/8224 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/8224 |
| Summary: | 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. |
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