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Classification of Vehicles using SURF Technique & SVM Classifier

Preeti Saini1

  1. Dept. of Computer Science and Engineering, Northern India Engineering College, Delhi, India.

Correspondence should be addressed to: preeti.saini67@yahoo.in.

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-9 , Page no. 194-197, Sep-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i9.194197

Online published on Sep 30, 2017

Copyright © Preeti Saini . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Preeti Saini, “Classification of Vehicles using SURF Technique & SVM Classifier,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.194-197, 2017.

MLA Style Citation: Preeti Saini "Classification of Vehicles using SURF Technique & SVM Classifier." International Journal of Computer Sciences and Engineering 5.9 (2017): 194-197.

APA Style Citation: Preeti Saini, (2017). Classification of Vehicles using SURF Technique & SVM Classifier. International Journal of Computer Sciences and Engineering, 5(9), 194-197.

BibTex Style Citation:
@article{Saini_2017,
author = {Preeti Saini},
title = {Classification of Vehicles using SURF Technique & SVM Classifier},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2017},
volume = {5},
Issue = {9},
month = {9},
year = {2017},
issn = {2347-2693},
pages = {194-197},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1455},
doi = {https://doi.org/10.26438/ijcse/v5i9.194197}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i9.194197}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1455
TI - Classification of Vehicles using SURF Technique & SVM Classifier
T2 - International Journal of Computer Sciences and Engineering
AU - Preeti Saini
PY - 2017
DA - 2017/09/30
PB - IJCSE, Indore, INDIA
SP - 194-197
IS - 9
VL - 5
SN - 2347-2693
ER -

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Abstract

There has been an enormous increase in the number and types of vehicles on the roads with the increase in population. Vehicle Classification (VC) has become an important subject of study in the last few years because of its importance in security system, traffic congestion avoidance, traffic management etc. This paper implements vehicle classification on the basis of appearance based technique “Speeded up Robust Features” (SURF) descriptor and Support Vector Machine (SVM) classifier. Keeping this as focal point, SURF Technique is used for the purpose of feature extraction from the images in form of descriptor and then matches these feature points of training images and test images whereas SVM classifier is used to classify images based on the outcome of feature points. Through the experiment and analysis of results, the proposed methodology provides better results in terms of accuracy and matching time.

Key-Words / Index Term

SURF, vehicle classification, Feature extraction, SVM classifier, BOF

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