Object classification with multiresolution wavelet decomposition

Marco Leo; Antonella Branca; Gianni Attolico; Arcangelo Distante

doi:10.1117/12.458755

8 March 2002 Object classification with multiresolution wavelet decomposition

Marco Leo, Antonella Branca, Gianni Attolico, Arcangelo Distante

Author Affiliations +

Proceedings Volume 4738, Wavelet and Independent Component Analysis Applications IX; (2002) https://doi.org/10.1117/12.458755
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

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Marco Leo, Antonella Branca, Gianni Attolico, and Arcangelo Distante "Object classification with multiresolution wavelet decomposition", Proc. SPIE 4738, Wavelet and Independent Component Analysis Applications IX, (8 March 2002); https://doi.org/10.1117/12.458755

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