Thesis-2008-Zafar.pdf (8.35 MB)
Automatic approaches towards vehicle make and model recognition
thesis
posted on 2018-07-16, 08:32 authored by Iffat ZafarVehicle 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 ZafarPublisher 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
2008Notes
A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.Language
- en