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Multiple class image-based vehicle classification using soft computing algorithms
Joint Authors
Shantaiya, Sanjivani
Verma, Kesari
Mehta, Kamal
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6A(s) (31 Dec. 2016), pp.835-841, 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
Automatic vehicle classification has expanded into a momentous topic of study due to its importance in autonomous navigation, traffic analysis, surveillance security systems, and transportation management.
This paper presents multiclass image based classification of vehicles like bikes and cars using soft computing algorithms like artificial neural network decision tree and support vector machine as well.
The objective of this paper is to automate the classification of vehicles from images.
A good set of descriptor features that capture the most important properties of an object are used to identify the object uniquely.
Different views of vehicle images are considered as important factor during classification process as six multiple class labels are created accordingly.
American Psychological Association (APA)
Shantaiya, Sanjivani& Verma, Kesari& Mehta, Kamal. 2016. Multiple class image-based vehicle classification using soft computing algorithms. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s), pp.835-841.
https://search.emarefa.net/detail/BIM-792117
Modern Language Association (MLA)
Shantaiya, Sanjivani…[et al.]. Multiple class image-based vehicle classification using soft computing algorithms. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016), pp.835-841.
https://search.emarefa.net/detail/BIM-792117
American Medical Association (AMA)
Shantaiya, Sanjivani& Verma, Kesari& Mehta, Kamal. Multiple class image-based vehicle classification using soft computing algorithms. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s), pp.835-841.
https://search.emarefa.net/detail/BIM-792117
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 840
Record ID
BIM-792117