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

TL;DR

This paper presents a real-time vehicle classification system using a fast template matching algorithm that selects optimal colour bands, achieving about 4 frames per second on low-cost hardware with CCTV footage.

Contribution

It introduces a novel fast template matching approach based on colour band selection for real-time vehicle classification on low-cost systems.

Findings

Achieves 4 frames/sec processing speed.

Operates effectively on low-cost hardware.

Uses colour band selection for improved matching.

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