A real time vehicles detection algorithm for vision based sensors

TL;DR

This paper presents a real-time vision-based vehicle detection algorithm that uses linguistic variables to classify image attributes, demonstrating effectiveness in complex traffic scenes for traffic control applications.

Contribution

The paper introduces a novel real-time vehicle detection algorithm utilizing linguistic variables for classifying image features in traffic scenes.

Findings

Effective detection in complex traffic scenes

Real-time performance demonstrated

High accuracy in vehicle presence recognition

Abstract

A vehicle detection plays an important role in the traffic control at signalised intersections. This paper introduces a vision-based algorithm for vehicles presence recognition in detection zones. The algorithm uses linguistic variables to evaluate local attributes of an input image. The image attributes are categorised as vehicle, background or unknown features. Experimental results on complex traffic scenes show that the proposed algorithm is effective for a real-time vehicles detection.