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Proceedings Paper

Object classification with multiresolution wavelet decomposition
Author(s): Marco Leo; Antonella Branca; Gianni Attolico; Arcangelo Distante
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Paper Abstract

The main aim of this work is moving object recognition in outdoor environments in the context of video surveillance for intruder detection in archeological sites. Our goal is to propose an example-based learning technique to detect vehicles and peoples in dynamic scenes. The classification is purely based on the object shape and not on its image content. First motion information is used for detecting the objects of interest. Haar wavelets are used to represent the images and, finally, a supervised three layer neural network is used to classify the patterns.

Paper Details

Date Published: 8 March 2002
PDF: 7 pages
Proc. SPIE 4738, Wavelet and Independent Component Analysis Applications IX, (8 March 2002); doi: 10.1117/12.458755
Show Author Affiliations
Marco Leo, Istituto Elaborazione Segnali ed Immagini/CNR (Italy)
Antonella Branca, Istituto Elaborazione Segnali ed Immagini/CNR (Italy)
Gianni Attolico, Istituto Elaborazione Segnali ed Immagini/CNR (Italy)
Arcangelo Distante, Istituto Elaborazione Segnali ed Immagini/CNR (Italy)


Published in SPIE Proceedings Vol. 4738:
Wavelet and Independent Component Analysis Applications IX
Harold H. Szu; James R. Buss, Editor(s)

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