HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

https://hal.univ-brest.fr/hal-03222635
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

Identifiers

  • HAL Id : hal-03222635, version 1

Collections

Citation

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

Share

Metrics

Record views

12