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Vehicle Detection and Recognition in Greyscale Imagery

Vehicle Detection and Recognition in Greyscale Imagery
Vehicle Detection and Recognition in Greyscale Imagery
This paper details a novel two-stage vehicle detection and recognition algorithm by combining an image-processing region of interest (ROI) designator to cue a secondary recognition process implemented using principal component analysis (PCA) as input to a Multi-Layered Perceptron (MLP) classifier. Both the image-processing system and the MLP classifier have been designed for real-time implementation and data-fusion with other information sources.
473--479
Matthews, N.D.
67f2b57f-7b49-47ef-8910-a7bada8af702
An, P.E.
5dc94657-d009-4d13-9a0f-6645a9d296d9
Charnley, D.
201a3f46-6348-4188-a8af-9e4e08c5889a
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Matthews, N.D.
67f2b57f-7b49-47ef-8910-a7bada8af702
An, P.E.
5dc94657-d009-4d13-9a0f-6645a9d296d9
Charnley, D.
201a3f46-6348-4188-a8af-9e4e08c5889a
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Matthews, N.D., An, P.E., Charnley, D. and Harris, C.J. (1996) Vehicle Detection and Recognition in Greyscale Imagery. Control Engineering Practice, 4 (4), 473--479.

Record type: Article

Abstract

This paper details a novel two-stage vehicle detection and recognition algorithm by combining an image-processing region of interest (ROI) designator to cue a secondary recognition process implemented using principal component analysis (PCA) as input to a Multi-Layered Perceptron (MLP) classifier. Both the image-processing system and the MLP classifier have been designed for real-time implementation and data-fusion with other information sources.

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More information

Published date: April 1996
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 250108
URI: https://eprints.soton.ac.uk/id/eprint/250108
PURE UUID: 8fc3f162-ae24-4377-a417-77a9d7431488

Catalogue record

Date deposited: 04 May 1999
Last modified: 06 Nov 2018 17:31

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