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Automatic number plate recognition (ANPR) is an image processing technology which uses number (license) plate to identify the vehicle. The objective is to design an efficient automatic authorized vehicle identification system by using the vehicle number plate. The system is implemented on the entrance for security control of a highly restricted area like military zones or area around top government...
Vehicle type recognition is an active subject in the area of computer pattern recognition, which has been a focus in reach for the last couple of decades because of its wide potential application. And edge detection is an important step for vehicle type recognition, a vehicle type recognition method based on Sobel was proposed. Also discussed are the vehicle vector and the vehicle recognize process...
Automatic number plate recognition (ANPR) is a real time embedded system which automatically recognizes the license number of vehicles. In this paper, the task of recognizing number plate for Indian conditions is considered, where number plate standards are rarely followed. The system consists of integration of algorithms like: 'feature-based number plate localization' for locating the number plate,...
A novel strategy for the visual tracking and the information extracted problem is proposed which is for the case of maneuvering target. The strategy contains two methods. One is used to tracking, and the other one is used to extract the information of the vehicle. A non-linear estimation method using the particle filter to track objects is presented. During the tracking, a great deal of vehicle information...
This study uses two low-cost and compact CMOS cameras to construct an asynchronous binocular system and proposes an effective real-time front-vehicle detection algorithm with the binocular system. The proposed vehicle detection algorithm uses the edge information to detect the region of each front vehicle, and then computes the disparities of the front vehicles by an adaptive search method. According...
Delay of signalized intersection has been estimated not only by manual method but also some intersection models. Long queues of lanes will make it difficult for collecting data manually and delay calculated by signalized intersection models may not be perfect for a particular intersection. In this paper, we design a system that can calculate delay automatically based on image processing technology...
The paper introduces background extractions with self-adaptive update algorithm and puts forward an improved algorithm based on histogram statistic combining with multi-frame average. It avoids the image trail-blur phenomena using pure multi-frame method on traffic jam, and has relative low computation complexity comparing with the hybrid Gauss model. It can run on the TI DM642 DSP hardware platform,...
It is important to extract ROI (region of interest) based on vision image processing in intelligent transportation system. A simple and novel approach is proposed to extract the RIO in transportation scene images. First, interest pixels function is designed to detect all the interest pixels from scene image; after that, these interest pixels are grouped to interest regions according some strategy;...
A layered approach is designed to address many of the real-world problems that an inexpensive lane detection system would encounter. A region of interest is first extracted from the image followed by an enhancement procedure to manipulate the shape of the lane markers. The extracted region is then converted to binary using an adaptive threshold. A model based line detection system hypothesizes lane...
We propose a learning system for object classification which fuses information from a camera, a radar and a localization unit. The system is illustrated in application to categorization of objects on a highway. The system learns not only prior to its deployment in a supervised mode but also on-board a vehicle during its operation in a self-learning mode. The radar guides a selection of candidate images...
Image and video processing is indispensable for modern traffic surveillance applications. At this, the reliable detection of vehicles is an essential and also challenging task depending on versatile environment parameters. Many research works have been investigated in accurate pattern matching so far. Nevertheless, dealing with noise and variations in pattern shapes are still improvable key problems...
This paper describes the development of an image-based traveling information monitoring system. It provides a practical solution that can detect the driving feature and the running environment of the mobile in real time, especially the distances between the forward cars and our car. Moreover, this system can strengthen the management ability to prevent the traffic accidents for the drivers.
This paper is dedicated to detecting and counting vehicles in day environment by using real time traffic flux through differential techniques. The basic idea used is variation in the traffic flux density due to presence of vehicle in the scene. In the present work a simple differential algorithm is designed and tested with vehicle detection and counting application. Traffic flux estimation will play...
An image-based technique with high measurement rate has been proposed to measure the distance between two moving vehicles. By combining several near-infrared (NIR) LED markers mounted on the forward vehicle with an NIR-filtered CMOS camera mounted on the backward vehicle, one can clearly recognize the marker shape and positions without any adjusting the focus lens of camera, and hence he can extremely...
Slant Correction plays an important role in the pretreatment during the recognition of vehicle license plate (VLP). To reduce and avoid the interference from the dirt, noise and frame of the VLP, as well as simplify the computation load, a method of slant correction of VLP integrates PCA (Principal Component Analysis) based on color-pair feature and radon transformation is presented in this paper...
This paper presents a character segmentation method of vehicle license plate using modified vertical projection. After analyzing the reason of failure of traditional segmentation methods, the paper gives some methods to deal with character adhesion and segmentation mistakes, which improves the success probability of segmentation obviously. The most valuable feature of this new algorithm is that it...
In view of complex background the license plate image which photographs under the different illumination condition, in this research, we proposes one in administrative levels fast localization method. This method use license plate geometry characteristic, textural property as well as color characteristic. Firstly we take a much more quicker interleaved method of sampling according to the gray texture...
We address the problem of 3D model based vehicle localization in calibrated traffic scenes. A wire-frame vehicle model is set up as prior information and an efficient local gradient based method is proposed to evaluate the fitness between the projection of 3D model and image data, which illustrates smooth optimization surface and more conspicuous peak with low computational cost. Gradient decent is...
License plate recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated...
Vehicle license plate is a special region of vehicle image, which has many features and can not be located by only one of these characteristics. Based on multi- characteristics a novel real-time license plate detection method is presented, which consists of two main steps: license plate area's rough detection and license plate segmentation & verification. The former is stimulated by the fact that...
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