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Localised contourlet features in vehicle make and model recognition
conference contribution
posted on 2010-07-15, 15:57 authored by Iffat Zafar, Eran Edirisinghe, Serpil AcarAutomatic vehicle Make and Model Recognition (MMR) systems provide useful performance enhancements to vehicle
recognitions systems that are solely based on Automatic Number Plate Recognition (ANPR) systems. Several vehicle
MMR systems have been proposed in literature. In parallel to this, the usefulness of multi-resolution based feature
analysis techniques leading to efficient object classification algorithms have received close attention from the research
community. To this effect, Contourlet transforms that can provide an efficient directional multi-resolution image
representation has recently been introduced. Already an attempt has been made in literature to use Curvelet/Contourlet
transforms in vehicle MMR. In this paper we propose a novel localized feature detection method in Contourlet transform
domain that is capable of increasing the classification rates up to 4%, as compared to the previously proposed Contourlet
based vehicle MMR approach in which the features are non-localized and thus results in sub-optimal classification.
Further we show that the proposed algorithm can achieve the increased classification accuracy of 96% at significantly
lower computational complexity due to the use of Two Dimensional Linear Discriminant Analysis (2DLDA) for
dimensionality reduction by preserving the features with high between-class variance and low inter-class variance.
History
School
- Science
Department
- Computer Science
Citation
ZAFAR, I., EDIRISINGHE, E.A. and ACAR, B.S. Localised contourlet features in vehicle make and model recognition. IN: Niel, K.S. and Fofi, D.(eds) Image Processing: Machine Vision Applications II, Proc. of SPIE-IS&T Electronic Imaging, 7251, 725105, 10pp.Publisher
© 2009 SPIEVersion
- VoR (Version of Record)
Publication date
2009Notes
Copyright 2009 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This paper can also be found at: http://dx.doi.org/10.1117/12.805878Language
- en