One of the processes occurs in the visual cortex, which is the part of the brain that receives
information from the eye. At this point in the system the eye has already processed and …

This paper describes a method for detecting and recognizing road signs in grey-level and
colour images acquired by a single camera mounted on a moving vehicle. The method …

We present an algorithm for segmentation of traffic scenes that distinguishes moving objects
from their moving cast shadows. A fading memory estimator calculates mean and variance …

Algorithms for classifying road signs have a high computational cost per pixel processed. A
detection stage that has a lower computational cost can facilitate real-time processing …

This paper describes an automatic road sign recognition system by using matching pursuit
(MP) filters. The system consists of two phases. In the detection phase, it finds the relative …

Advanced visual surveillance systems not only need to track moving objects but also
interpret their patterns of behaviour. This means that solving the information integration …

The ability of recognising traffic signs in a road traffic scenario is an important feature of the
Daimler-Benz autonomous vehicle VITA II. This real-time vision-based traffic sign …

The traffic sign detection and recognition system is an essential module of the driver warning
and assistance system. A vision-based stop sign detection and recognition system is …

In this paper a robust method for detecting and recognizing road signs by vision is
presented. The detection step is based on a geometrical analysis of the edges extracted …

In this Book we argue that the fruitful interaction of computer vision and belief calculus is
capable of stimulating significant advances in both fields. From a methodological point of …