Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching

Date

2000-05

Authors

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

arXiv, Cornell University, USA

Type

Article

Peer reviewed

Yes

Abstract

Selection of appropriate template matching algorithms to run effectively on real-time low-cost systems is always major issue. This is due to unpredictable changes in image scene which often necessitate more sophisticated real-time algorithms to retain image consistency. Inefficiency of low cost auxiliary hardware and time limitations are the major constraints in using these sorts of algorithms. The real-time system introduced here copes with these problems utilising a fast running template matching algorithm, which makes use of best colour band selection. The system uses fast running real-time algorithms to achieve template matching and vehicle classification at about 4 frames /sec. on low-cost hardware. The colour image sequences have been taken by a fixed CCTV camera overlooking a busy multi-lane road.

Description

Keywords

vehicle classification, CCTV, template matching, image processing

Citation

Orun, A. (2000) Automatic Real-time Vehicle Classification by Image Colour Component Based Template Matching. arXiv

Rights

Research Institute

Institute of Artificial Intelligence (IAI)