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A neural network based approach for the vehicle classification

conference contribution
posted on 06.12.2017, 00:00 by Anshul Goyal, Brijesh Verma
This paper presents a neural network based approach for vehicle classification. The proposed vehicle classification approach extracts various features from a vehicle image, normalises and classifies them into one of the known classes. It is based on structural features and a direct solution training method. The preliminary experiments on training and testing of 4 types of vehicles patterns were conducted. The experimental results are very promising and demonstrate the effectiveness and usefulness of the proposed approach.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

226

End Page

231

Number of Pages

6

Start Date

01/01/2007

ISBN-10

1424407079

Location

Honolulu, HI, USA

Publisher

IEEE

Place of Publication

USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Faculty of Business and Informatics;

Era Eligible

Yes

Name of Conference

IEEE Symposium on Computational Intelligence in Image and Signal Processing

Exports