Until now transport planners and modellers have little information on the actual route choice in road networks as route choice is difficult to observe. The paper presents various techniques for observing route choice (floating car data, mobile phone data, automatic number plate recognition systems, bluetooth detection) and shows results of route choice observations. Based on the analysis of the...

We propose a method for segmentation of a line of characters in a noisy low resolution image of a car license plate. The Hidden Markov Chains are used to model a stochastic relation between an input image and a corresponding character segmentation. The segmentation problem is expressed as the maximum a posteriori estimation from a set of admissible segmentations. The proposed method exploits a ...

The number plate recognition system is one kind of an Intelligent Transport System. The proposed work is used to extract numbers from the number plate. This technology is used in various security purposes for finding stolen cars, traffic management system, in electronic toll collection, smuggling of cars, usage of cars in terrorist attacks and illegal activities. This work is based on edge dete...

Research on the location and extraction of the texts in complex background has important significance in current information age. It has enriched image processing theory and shows great business value in practical applications such as image and video searching in Internet environment as well as license plate recognition in modern traffic management. How to rapidly and accurately locate and extr...

background: seat belts have been proven as one of the most successful means of preventing or reducing injuries to occupants of cars during an accident. this paper examines the reasons behind the non-compliance of the seat belt law in malaysia and suggests possible measures to get the percentage of seat belt usage up higher. methods: various databases of articles were searched for seat belt usag...

In recent years, there has been a lot of research in license plate recognition, and many license plate recognition systems have been proposed and used. In the past, the license plate recognition system was a key element in many applications such as traffic control and parking lots access control. In this article, the authors present current research in license plate recognition, and elaborate o...

In this work, we tackle the problem of car license plate detection and recognition in natural scene images. Inspired by the success of deep neural networks (DNNs) in various vision applications, here we leverage DNNs to learn high-level features in a cascade framework, which lead to improved performance on both detection and recognition. Firstly, we train a 37-class convolutional neural network...