Vehicle Make and Model classification system using bag of SIFT features

Muhammad Asif Manzoor; Yasser Morgan

doi:10.1109/CCWC.2017.7868475

Vehicle Make and Model classification system using bag of SIFT features

Muhammad Asif Manzoor, Yasser Morgan

Department of Systems and Enterprises

University of Regina

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

35 Scopus citations

Abstract

Vehicle Make and Model classification is an important part of Intelligent Transportation System. In this work, we have proposed a method based on Linear Support vector machine to solve this problem. Scale Invariant Transform Feature (SIFT) algorithm is used in this work to extract and represent local interest points. Bag of words model is used to represent the local features as fixed length vector to represent an image. The proposed method is evaluated on a publicly available vehicle make and model dataset and promising results are achieved with this method.

Original language	English
Title of host publication	2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017
Editors	Himadri Nath Saha, Satyajit Chakrabarti
ISBN (Electronic)	9781509042289
DOIs	https://doi.org/10.1109/CCWC.2017.7868475
State	Published - 1 Mar 2017
Event	7th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2017 - Las Vegas, United States Duration: 9 Jan 2017 → 11 Jan 2017

Publication series

Name	2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017

Conference

Conference	7th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2017
Country/Territory	United States
City	Las Vegas
Period	9/01/17 → 11/01/17

Keywords

Bag of Words Model
Scale Invariant Transform Feature (SIFT)
Support Vector Machine
Vehicle Classification

Access to Document

10.1109/CCWC.2017.7868475

Cite this

Manzoor, M. A., & Morgan, Y. (2017). Vehicle Make and Model classification system using bag of SIFT features. In H. N. Saha, & S. Chakrabarti (Eds.), 2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017 Article 7868475 (2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017). https://doi.org/10.1109/CCWC.2017.7868475

@inproceedings{1c67bb82c054463797538901eb1f689f,

title = "Vehicle Make and Model classification system using bag of SIFT features",

abstract = "Vehicle Make and Model classification is an important part of Intelligent Transportation System. In this work, we have proposed a method based on Linear Support vector machine to solve this problem. Scale Invariant Transform Feature (SIFT) algorithm is used in this work to extract and represent local interest points. Bag of words model is used to represent the local features as fixed length vector to represent an image. The proposed method is evaluated on a publicly available vehicle make and model dataset and promising results are achieved with this method.",

keywords = "Bag of Words Model, Scale Invariant Transform Feature (SIFT), Support Vector Machine, Vehicle Classification",

author = "Manzoor, {Muhammad Asif} and Yasser Morgan",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2017 ; Conference date: 09-01-2017 Through 11-01-2017",

year = "2017",

month = mar,

day = "1",

doi = "10.1109/CCWC.2017.7868475",

language = "English",

series = "2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017",

editor = "Saha, {Himadri Nath} and Satyajit Chakrabarti",

booktitle = "2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017",

}

Manzoor, MA & Morgan, Y 2017, Vehicle Make and Model classification system using bag of SIFT features. in HN Saha & S Chakrabarti (eds), 2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017., 7868475, 2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017, 7th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2017, Las Vegas, United States, 9/01/17. https://doi.org/10.1109/CCWC.2017.7868475

Vehicle Make and Model classification system using bag of SIFT features. / Manzoor, Muhammad Asif; Morgan, Yasser.
2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017. ed. / Himadri Nath Saha; Satyajit Chakrabarti. 2017. 7868475 (2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Vehicle Make and Model classification system using bag of SIFT features

AU - Manzoor, Muhammad Asif

AU - Morgan, Yasser

PY - 2017/3/1

Y1 - 2017/3/1

N2 - Vehicle Make and Model classification is an important part of Intelligent Transportation System. In this work, we have proposed a method based on Linear Support vector machine to solve this problem. Scale Invariant Transform Feature (SIFT) algorithm is used in this work to extract and represent local interest points. Bag of words model is used to represent the local features as fixed length vector to represent an image. The proposed method is evaluated on a publicly available vehicle make and model dataset and promising results are achieved with this method.

AB - Vehicle Make and Model classification is an important part of Intelligent Transportation System. In this work, we have proposed a method based on Linear Support vector machine to solve this problem. Scale Invariant Transform Feature (SIFT) algorithm is used in this work to extract and represent local interest points. Bag of words model is used to represent the local features as fixed length vector to represent an image. The proposed method is evaluated on a publicly available vehicle make and model dataset and promising results are achieved with this method.

KW - Bag of Words Model

KW - Scale Invariant Transform Feature (SIFT)

KW - Support Vector Machine

KW - Vehicle Classification

UR - http://www.scopus.com/inward/record.url?scp=85016718661&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85016718661&partnerID=8YFLogxK

U2 - 10.1109/CCWC.2017.7868475

DO - 10.1109/CCWC.2017.7868475

M3 - Conference contribution

AN - SCOPUS:85016718661

T3 - 2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017

BT - 2017 IEEE 7th Annual Computing and Communication Workshop and Conference, CCWC 2017

A2 - Saha, Himadri Nath

A2 - Chakrabarti, Satyajit

T2 - 7th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2017

Y2 - 9 January 2017 through 11 January 2017

ER -

Vehicle Make and Model classification system using bag of SIFT features

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this