Semi-automatic training of a vehicle make and model recognition system

M.H. Zwemer, G.M.Y.E. Brouwers, R.G.J. Wijnhoven, P.H.N. de With

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

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We propose a system for vehicle Make and Model Recognition (MMR) that automatically detects and classifies the make and model from a live camera mounted above the highway. Our system consists of a vehicle detection and MMR classification component. The vehicle detector is based on HOG features and can locate 98%
of the vehicles with minimum false detections. We use a Convolutional Neural Network (CNN) for MMR classification on the vehicle locations. We propose a semi-automatic data-selection approach for the vehicle detector and the MMR classifier, by using an Automatic Number Plate Recognition engine for annotating new images, requiring minimal human annotation effort. In our results we show that our MMR classification has a top-1 accuracy of 98%
for 500 vehicle models, where more than 500 training samples per model are desired to obtain accurate classification.
Original languageEnglish
Title of host publicationImage Analysis and Processing - ICIAP 2017
Subtitle of host publication19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II
EditorsSebastiano Battiato, Giovanni Gallo, Filippo Stanco, Raimondo Schettini
Place of PublicationCham
Number of pages12
ISBN (Electronic)978-3-319-68548-9
ISBN (Print)978-3-319-68547-2
Publication statusPublished - 2017
Event19th International Conference on Image Analysis and Processing (ICIAP 2017) - Catania, Italy
Duration: 11 Sept 201715 Sept 2017
Conference number: 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10485 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Conference on Image Analysis and Processing (ICIAP 2017)
Abbreviated titleICIAP 2017
Internet address


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