NDLI: Daubechies complex wavelet transform based approach for Multiclass object classification

Content Provider	IEEE Xplore Digital Library
Author	Khare, Manish Prakash, Om Srivastava, Rajneesh Kumar Khare, Ashish
Copyright Year	2014
Description	Author affiliation: Department of Electronics and Communication, University of Allahabad, Uttar Pradesh, India (Khare, Manish; Srivastava, Rajneesh Kumar; Khare, Ashish) \|\| Centre of Computer Education, Institute of Professional Studies, University of Allahabad, Uttar Pradesh, India (Prakash, Om)
Abstract	Object classification is an important step in different applications such as video surveillance, content based video retrieval etc. The task of multiclass object classification has more challenges. The goal of multi class object classification is to classify objects into one of the chosen classes. In this paper we propose a new method for multiclass object classification which is based on Daubechies complex wavelet transform. Daubechies complex wavelet transform is having advantage of approximate shift invariance and better edge representation as compared to real valued discrete wavelet transform. We have used Multiclass support vector machine as a classifier for classification of object. The proposed method has been tested on our own dataset prepared by authors of this paper. Evaluation results shows that the proposed method is better than other state-of-the-art methods and gives better performance for multiclass object classification.
Starting Page	206
Ending Page	211
File Size	1227233
Page Count	6
File Format	PDF
ISBN	9781479972043
DOI	10.1109/ICCAIS.2014.7020559
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-02
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Computer vision Feature selection Motorcycles Bicycles Video surveillance Discrete wavelet transforms Daubechies complex wavelet transform (DCxWT) Multiclass object classification
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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