Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500386
Title: Automatic approaches towards vehicle make and model recognition
Author: Zafar, Iffat
ISNI:       0000 0004 2672 7515
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2008
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Abstract:
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.
Supervisor: Not available Sponsor: Loughborough University ; Engineering and Physical Sciences Research Council (EPSRC)
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.500386  DOI: Not available
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