The real-time road traffic sign recognition focused on the application of computer vision techniques in automatic detection and classification of video images of traffic signs placed on roadways acquired from moving vehicles. In this work, we present results of an attempt to locating traffic signs placed on local roadways based on image processing techniques. The developed algorithm is based on...

Design of a new intelligent driver assistance system based on traffic sign detection with Persian context is concerned in this paper. The primary aim of this system is to increase the precision of drivers in choosing their path with regard to traffic signs. To achieve this goal, a new framework that implements fuzzy logic was used to detect traffic signs in videos captured along a highway f...

A new approach has been developed for accurate and fast recognition of traffic signs based on human vision models. It applies colour appearance model CIECAM97 to segment traffic signs from the rest of scenes. This model takes viewing conditions into account and can recognise colours as accurate as an average observer invariant of lighting sources, background, and surrounding colours. A Behaviou...

A traffic sign classification method based on artificial neural network is proposed in this paper. The proposed method for classifying traffic signs first detects traffic signs by using on the property of color probability model and then classifies the detected traffic signals. In both of detection and classification processes, two artificial neural network models are utilized. Experiments on p...

Traffic signs are important visual guiding signals for the safe navigation through complex road traffic. Interestingly, there is little variation in the traffic signs for cars around the world. However, remarkable variation exists for pedestrian traffic signs. Following up from an earlier study, we investigated the visual efficacy of female vs. male German Ampelmännchen pedestrian traffic signs...