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Conference Papers Year : 1993

Neural Networks for Vehicle Detection and Classification

Abstract

Automatic classification of vehicles on infra-red images is a hard image processing problem. Because it is difficult to use a pattern recognition method based on models, an alternative approach, based on learning by example, is investigated. The approach involves neural network techniques. Experimental results show that classification rates around 92% can be obtained with a training base of 1000 examples.
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hal-03222635 , version 1 (18-03-2023)

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  • HAL Id : hal-03222635 , version 1

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Gilles Burel, Jean-Yves Catros. Neural Networks for Vehicle Detection and Classification. Battlefield Atmospherics Conference, Nov 1993, Las Cruces, United States. pp.785-796. ⟨hal-03222635⟩

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