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Car license plate detection is a basic task in ITS. A MSER license plate detection method is proposed in the paper constrained by some priori knowledges of license plate. First the input image is pre-processed with grayscaling and gray stretching, etc, and then, the candidate MSER(Maximally Stable Extremal Region) license plate regions are chosen according to the pixel sum, the scale and length-width...
Vehicle license plate identification system is an image-processing technology used to identify vehicles by their license plates. This technology is used in various security and traffic applications. This data is also used for enforcement, data collection, and can be used to keep a time record on the entry or exit of vehicles for automatic payment calculations. The significant advantage of this system...
Recently, image processing has been commonly applied to various parts of the vehicle industry. In particular, the use of vehicle cameras gives the driver clear view for occluded regions to the front or rear of the vehicle. However, images from the camera have low visibility at night due to the lack of ambient illumination. To enhance the visibility of images, generic methods using global functions,...
In this paper, we address the problem of vehicle detection and tracking with low-angle cameras by combining windshield detection and feature points clustering, effectively fusing several primitive image features such as color, edge and interest point. By exploring various heterogenous features and multiple vehicle models, we achieve at least two improvements over the existing methods: higher detection...
In multiple moving object detection, the connection between objects and shadow always leads to the failure of object detection. To solve this problem, a new object extraction algorithm using level set is proposed and applied to detect moving vehicle in intelligent monitoring of motorway. Moving information is extracted via symmetrical difference and used in the velocity function of level set. After...
Road detection is the most fundamental part of autonomous vehicles. Noises caused by shadows and vehicles on the road have a great negative impact on the road detection. Our method improves the performance under the noisy environment by taking advantage of color information to determine the road curvature. A novel geometrical method is proposed in this paper to select the most matched curvature. A...
Considering the widespread problems of road transport, approach of the paper is a system to automatically control the roads by using images from satellite in night and day. Although no coherent system with appropriate performance has been yet introduced to achieve this goal, some methods has been proposed to estimate the road or recognize objects on the road, which have been more based on thresholding...
With the rapid improvement of technology and economy, the percentage of transportation, like automobile, gradually increases. However, the number of cars increases, the methods of management stretches lots of problems, such as parking, traffic and thievery. Hence, Intelligent Transportation System (ITS) have been emphasized step by step and set up one after another around the world. In addition, ITS...
In this paper, we propose a system that automatically detects and recognizes road signs found in the United States, in real time or close to real-time. The proposed system has application to intelligent autonomous unmanned vehicles for urban surveillance and rescue. It is a multi-layered hierarchical scheme composed of 3 parts: road sign color segmentation, shape recognition, and classification. The...
The vehicle shadow's detection and elimination work basically for extracting and tracking the vehicle characteristics, and it also plays a very important role in highway video surveillance and incident detection, affecting the post-processing of video image directly, such as vehicle tracking and speed measurement. On study of Kimmel variational and multi-scale Retinex algorithm to eliminate the vehicle...
This paper proposed an accurate shadow removal method for vehicle tracking. Firstly we detect and remove the shadow using optical gain based gradient analysis,in this process some parts of vehicle which are similar to shadow region in color space may be detected as shadow and removing these parts will leave some holes in the vehicle region. Then we fill these holes using the skeleton information of...
Traditional vision based vehicle detection methods are more successful in detecting front and rear vehicles. However, the problem of detecting vehicles under various poses still presents a great deal of difficulty. Pose variation leads to limit the use of vision based driver assistance systems. In this paper, we present a Conditional Random Fields (CRFs) based algorithm that can detect vehicles under...
Event detection is an important research in video surveillance technology. This paper proposed a method for traffic event detection based on visual Mechanism on the background of traffic video surveillance applications. In this method, based on the extraction of video target motion characteristics, it extracted abnormal targets mainly through the features merging and significant competitive in video...
Tilt correction is a very crucial and inevitable task in the automatic recognition of the vehicle license plate (VLP). In this paper, according to the least square fitting with perpendicular offsets (LSFPO) the VLP region is fitted to a straight line. After the line slope is obtained, rotation angle of the VLP is estimated. Then the whole image is rotated for tilt correction in horizontal direction...
Car-plate locating is the first step of the recognition of car-plate, the accuracy of locating plays an important role in the next steps. This paper introduce some methods of car-plate locating. First, the input image is roughly segmented absed on the color information, and some regions with the color of car-plate are obtained. Then the false regions in the result image is eliminated. At last, projection...
In this paper, we evaluate several low dimensional color features for object retrieval in surveillance video. Previous work in object retrieval in surveillance has been hampered by issues in low resolution, poor segmentation, pose and lighting variations and the cost of retrieval. To overcome these difficulties, we restrict our analysis to alarm-based vehicle detection and as a consequence, we restrict...
Traffic flow, analysis and control is gaining high relevance, as the number of circulating vehicles continuously increases. This article proposes a computer vision based platform, which automatically detects vehicles in order to infer the traffic conditions. The developed real time detection algorithm is based on a dual background subtraction technique, incorporating the one known has Codebook and...
As an important feature of vehicle, vehicle color plays a significant role in Intelligent Transportation Systems. Traditional vehicle color recognition using experience-based artificial demarcation of threshold and voting method to identify, can't meet the requirements of the recognition rate in complex environments of video traffic and subdivision of vehicle color. In this paper, we present a method...
In the vehicle license plate recognition system, the accuracy of location directly decides the effect of latter recognition part. Since the Chinese license plates have complex colors and characters, former methods only can locate certain bounding rectangle of the plate but not the minimum one. Therefore interferences like plate frame and vehicle light may be included in the rectangle, and lead to...
As traffic surveillance technology continues to grow worldwide, computer vision-based vehicle tracking is becoming increasing important. One of the key challenges with vehicle tracking is dealing with high density traffic, where occlusion often leads to foreground splitting and merging errors. In order to help solve this problem, global features such as color or local features like corners can be...
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