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The license plate location is an essential process in the license plate recognition system, and has been studied widely. In view of vehicles image on different background and light densities, this paper presents a license plate location algorithm based on combinatorial feature. Firstly, we propose to preprocess the image of license plate with traditional but rapid method. Secondly, we define some...
Automatic license plate recognition is one of the crucial steps for any intelligent transportation application. License plate recognition is done in many approaches. However, license plate recognition in Indian scenario is very complex because, there is no unique standard for the plate. Even though the government stipulated the standards on how to write the plate and where to display, many people...
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...
The License plate location is an important stage in Intelligent Transportation System (ITS). It is considered to be the most crucial step of an Automatic License Plate Recognition (ALPR) system. A new image segmentation method based on integrated features and Marker-Controlled Watershed algorithm was proposed to locate and split the plate region of vehicle images from complicated environment. Firstly,...
Forewarning to avoid potential traffic accidents is of great importance for Intelligent Transportation Systems (ITS). Under pedestrian and vehicle mixed traffic conditions like urban road intersections, traffic monitoring and forewarning have especially important values. Therefore in this paper a novel urban traffic information analysis and forewarning system is presented. Our system contains modules...
Moving vehicle detection is an important part in intelligent transportation system applications. The purpose is to track each moving vehicle in the video frames. This paper analyzes the background generation and shadow removal methods in traditional background subtraction approach, and presents a simple algorithm to generate and update color background image based on statistical method at intersection...
Measuring a vehicle's speed using a video image is an important technique in an intelligent transportation system. This paper presents a hardware implemented vehicle speed measurement (VSM) system. The operation of the system consists of three steps. First, we remove vehicles from a series of captured images to create a background. To do this, we introduce a simplified exclusion algorithm optimized...
In modern intelligent transportation systems, the video image vehicle detection system (VIVDS) is gradually becoming one of the popular methods at signalized traffic intersection due to its convenient installation and rich information content provided. However, in the current VIVDS, the camera usually is installed at the roadside poles or traffic light poles, which not only requires more than one...
Vehicle license plate recognition (VLPR) is one of the most important topics of using computer vision and pattern recognition in intelligent transportation systems. In order to recognize a license plate (LP) efficiently, the location of the LP in most cases must be extracted in the initial step. In this proposed algorithm, initially, HSI color model is adopted to select automatically statistical threshold...
Location detection method based on vision of motional vehicle is studied in this paper. Conventional method is frame difference method, which is realized by contrasting the different of sequential two frames of vehicle image, and which is easy to detect the background of current frame sheltered by previous frame. Second-difference algorithm is improved in the text, which is the improved algorithm...
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