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Automatic approaches towards vehicle make and model recognition

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thesis
posted on 16.07.2018 by Iffat Zafar
Vehicle Make and Model Recognition (MMR) systems provide means for improving the level of identity provided by Automatic Number Plate Recognition (ANPR) systems. Although a number of vehicle MMR systems have been proposed in literature the design of a robust algorithm still remains an open research problem. The research presented in this thesis aims to resolve some of the outstanding challenges in vehicle MMR such as rotation, translation, scale and illumination variance, occlusion, computational complexity and functional limitations. Four novel algorithms for vehicle MMR are proposed. [Continues.]

Funding

Loughborough University, Innovative Manufacturing and Construction Research Centres (IMCRC). Engineering and Physical Sciences Research Council (EPSRC).

History

School

  • Science

Department

  • Computer Science

Publisher

© Iffat Zafar

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2008

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

en

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