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This paper presents the performance comparison for lane detection and tracking using two techniques; Hough transform and color thresholding. Hough transform includes the following steps: gray scale conversion, edge detection, Hough space accumulation and un-Hough step to draw line. Color thresholding algorithm comprises color thresholding, morphology filtering and drawing tracking label. The results...
Fog is a natural and meteorological phenomenon that seems to be very dangerous for road driving. In its presence, the driver has a high perturbation in his field of view and must redouble vigilance. Therefore, it's primary to detect its presence to be able to adapt any advanced driver assistance system according to the density of fog. In this paper, we present a new local approach for detecting daytime...
This paper presents a rear obstacle detection system based on depth information obtained from Kinect sensor. The proposed system can be used for parking assistance applications and backup aid. It improves the false detection rate in single view based algorithms by using depth information. In addition, real distance to obstacles can be calculated by depth information. It is possible to alarm to driver...
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...
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...
Moving cast shadow detection of vehicle is important to vehicle detection and tracking. In this paper, a novel moving cast shadow detection approach using combined color models is proposed. Firstly, the ratio of hue over intensity in HSI color model is used to detect the bright object pixels in foreground regions. Secondly, we employ the theory of photometric color invariants in C1C2C3 color model...
In the complex reality environment, License plate image may contain multiple plates. At this point, simply using grayscale or color image processing only is very difficult to achieve fast and accurate positioning. By full use of the multiple conditions such as color, edge features and veins, a new method of multi-objective, integrated color of license plate location has been put forward. Firstly,...
This paper proposes a vision-based vehicle surveillance system for parking lot management in outdoor environments. Due to the limited field of view of camera, this system uses multiple cameras for monitoring a wide parking area. Then, an affine transformation is used for merging the scenes obtained from these multiple cameras. Two major components are included, i.e., vehicle counting and parking lot...
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...
For the limitation of current license plate location algorithms, present an algorithm of the license plate location based on image energy and its practical formulas. Introduce the algorithm of extraction and methods to verify region of license plate. It takes full advantage of characteristics of the license plate, such as complicated textures, sharp-cut contrast and so on. It also has the advantages...
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...
This paper presents a novel approach of license plate location. The proposed algorithm involves the following three steps. First, the vertical edges of the vehicle image are extracted by Sobel operator. Second, HSV color space and integral image are employed to locate candidates in yellow license plates and non-yellow license plates. Finally, connected component analysis is to locate the region of...
In the process of shadow detection, the method with HSV color information has a problem: it often mistakes the moving object with dark color for shadow. To this problem, the paper presented an algorithm based on edge information and HSV color information. At first, we made a edge detection at the Region-of-Interest (ROI), then in vertical direction we cumulated the number of the pixel points. Because...
The license plate location is an essential process in the license plate recognition system, and the location algorithm affects the result of recognition directly. In view of vehicles image on different background and light densities, this paper presents a license plate location algorithm, which based on histogram division. At first, this method makes pretreatment on license plate image. The pretreatment...
Rapid prototyping allows for evaluation of design product in a short period of time. Designers or CEOs may perceive the size and appearance of the product by touching the automatically constructed physical objects produced through rapid prototyping. However, it is usually impossible to change its color, texture, and user interface. In this paper, we introduce 'Augmented Reality based Re-formable Mock-up',...
In real images, color recognition is a challenging problem because of natural variations in light and shadows. Most existing color models have limitations in distinctive representation of colors in real scenes. Here, a linear combination of multiple color models is assumed. The approach makes color edges in the target as main character for recognition. It combined multiple color models to make the...
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