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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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Contributor : Gilles Burel Connect in order to contact the contributor
Submitted on : Monday, May 10, 2021 - 1:46:26 PM
Last modification on : Friday, May 14, 2021 - 9:00:09 AM


  • HAL Id : hal-03222635, version 1



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



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