Vehicle classification system using viola Jones and multi-layer Perceptron
Joint Authors
al-Muhammadi, Tariq
Htike, Zaw Zaw
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6A(s) (31 Dec. 2016), pp.965-971, 7 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
The automatic vehicle classification system has emerged as an important field of study in image processing and machine vision technologies’ implementation because of its variety of applications.
Despite many alternative solutions for the classification issue, the vision-based approaches remain the dominant solutions due to their ability to provide a larger number of parameters than other approaches.
To date, several approaches with various methods have been implemented to classify vehicles.
The fully automatic classification systems constitute a huge barrier for unmanned applications and advanced technologies.
This project presents software for a vision-based vehicle classifier using multiple Viola-Jones detectors, moment invariants features, and a multi-layer perceptron neural network to distinguish between different classes.
The results obtained in this project show the software’s ability to detect and locate vehicles perfectly in real time via live camera input.
American Psychological Association (APA)
al-Muhammadi, Tariq& Htike, Zaw Zaw. 2016. Vehicle classification system using viola Jones and multi-layer Perceptron. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s), pp.965-971.
https://search.emarefa.net/detail/BIM-792143
Modern Language Association (MLA)
al-Muhammadi, Tariq& Htike, Zaw Zaw. Vehicle classification system using viola Jones and multi-layer Perceptron. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016), pp.965-971.
https://search.emarefa.net/detail/BIM-792143
American Medical Association (AMA)
al-Muhammadi, Tariq& Htike, Zaw Zaw. Vehicle classification system using viola Jones and multi-layer Perceptron. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s), pp.965-971.
https://search.emarefa.net/detail/BIM-792143
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 970-971
Record ID
BIM-792143