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Car Type Recognition with Deep Neural Networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2016 IEEE Intelligent Vehicles Symposium, IV 2016
PublisherIEEE
Pages1115-1120
ISBN (Print)9781509018215
DOIs
Publication statusPublished - Jun 2016
Publication typeA4 Article in a conference publication
EventIEEE Intelligent Vehicles Symposium - Gothenburg, Sweden
Duration: 19 Jun 201622 Jun 2016
http://iv2016.org/

Conference

ConferenceIEEE Intelligent Vehicles Symposium
CountrySweden
CityGothenburg
Period19/06/1622/06/16
Internet address

Abstract

In this paper we study automatic recognition of cars of four types: Bus, Truck, Van and Small car. For this problem we consider two data driven frameworks: a deep neural network and a support vector machine using SIFT features. The accuracy of the methods is validated with a database of over 6500 images, and the resulting prediction accuracy is over 97 %. This clearly exceeds the accuracies of earlier studies that use manually engineered feature extraction pipelines.

Publication forum classification

Field of science, Statistics Finland