NDLI: Dual Tree Complex Wavelet Transform Based Multiclass Object Classification

Content Provider	IEEE Xplore Digital Library
Author	Khare, A. Khare, M. Srivastava, R.K.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. & Commun., Univ. of Allahabad, Allahabad, India (Khare, A.; Khare, M.; Srivastava, R.K.)
Abstract	Multiclass object classification is a difficult problem in computer vision application, because of highly variable nature of different objects. The primary goal of this paper is to classify object into one of the chosen classes. The proposed method uses Dual tree complex wavelet transform coefficients as a feature of object. Dual tree complex wavelet transform is having advantage of its better edge representation and approximate shift-invariant property as compared to real valued wavelet transform. We have used multiclass support vector machine classifier for classification of objects. The proposed method has been tested on dataset prepared by authors of this paper. We have tested the proposed method on multiple levels of Dual tree complex wavelet transform. Quantitative evaluation results demonstrate that the proposed method gives better performance for multiclass object classification in comparison to other state-of-the-art methods.
Sponsorship	IEEE Syst., Man, Cybern. Soc.
Starting Page	501
Ending Page	506
File Size	1447177
Page Count	6
File Format	PDF
ISBN	9780769551449
DOI	10.1109/ICMLA.2013.167
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Feature selection Motorcycles Bicycles Dual tree complex wavelet transform Discrete wavelet transforms Multiclass object classification
Content Type	Text
Resource Type	Article

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