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A good traffic monitoring system should be able to detect, count and classify moving vehicles. Vehicle classification is an important task that can provide information about road users and implicitly take decisions that can reduce congestion for example. This paper presents a new classification approach for moving vehicles. First moving vehicles are detected using a background subtraction approach,...
In this paper, we have implemented and tested a system of detection and recognition of road signs. The approach taken in this work consists of two main modules: a sensor module, which is based on color segmentation and shape detection where we converted the images to the HSV color space, then labeled the detected regions and tested for their shape. A recognition module, Template Matching, whose role...
Outdoor scene visibility deteriorates due to presence of haze or fog. Several dehazing techniques have found its application in fields of surveillance, detection, restoration and tracking. The techniques proposed till date are computationally complex and time consuming and thus not suited for real-time applications. The degraded images mostly suffer from reduced contrast. The technique proposed in...
Today, In the content of road vehicles, intelligent systems and autonomous vehicles, one of the important problem that should be solved is Road Terrain Classification that improves driving safety and comfort passengers. There are many studies in this area that improved the accuracy of classification. An improved classification method using color feature extraction is proposed in this paper. Color...
Number of vehicles in use worldwide per person and depending on this traffic accidents increase day by day. Until today, various studies have been made on detection of the faulty vehicles in traffic. This study; in accordance with this purpose, is realized in order to recognize, classify vehicles on a photo or video that captured on a autoban or road which has two lanes and detect faulty ones between...
Road detection is a key component of Advanced Driving Assistance Systems, which provides valid space and candidate regions of objects for vehicles. Mainstream road detection methods have focused on extracting discriminative features. In this paper, we propose a robust feature fusion framework, called “Feature++”, which is combined with superpixel feature and 3D feature extracted from stereo images...
Single materials have colors which form straight lines in RGB space. However, in severe shadow cases, those lines do not intersect the origin, which is inconsistent with the description of most literature. This paper is concerned with the detection and correction of the offset between the intersection and origin. First, we analyze the reason for forming that offset via an optical imaging model. Second,...
Vanishing point estimation is a crucial task in vision-based road detection. This paper presents a new texture-based voting scheme, which enhances both accuracy and speed of vanishing point estimation. In the proposed method, color tensors analysis is adopted to calculate local orientations and color edges. The search space is reduced by optimizing the set of vanishing point candidates and voters...
Illumination changes such as shadows significantly affect the accuracy of various road detection methods, especially for vision-based approaches with an on-board monocular camera. To efficiently consider such illumination changes, we propose a PCA based technique, PCA-II, that finds the minimum projection space from an input RGB image, and then use the space as the illumination-invariant space for...
In this paper, a new perspective of congestion is presented to promote the development of traffic video analysis. Our main contributions are threefold: a) An unified and quantifiable definition of congestion is proposed to describe the traffic state in video. b) Based on the definition, a congestion dataset which contains multiple traffic scenes is constructed as a platform for the research community...
Recent advances in web development, including the introduction of HTML5, have opened a door for visualization researchers and developers to quickly access larger audiences worldwide. Open source libraries for the creation of interactive visualizations are becoming more specialized but also modular, which makes them easy to incorporate in domain-specific applications. In this context, the authors developed...
The ongoing development of Autonomous Ground Vehicle technologies necessitates for classification of terrain as road and off road to identify the drivable path and optimal velocity for traversal of the vehicle. Terrain consists of different texture types, classification of terrain into different classes is a difficult and challenging task. In this paper the feature set extraction and classification...
The traffic sign detection and recognition is an integral part of Advanced Driver Assistance System (ADAS). Traffic signs provide information about the traffic rules, road conditions and route directions and assist the drivers for better and safe driving. Traffic sign detection and recognition system has two main stages: The first stage involves the traffic sign localization and the second stage classifies...
These last decades have seen the application of automatic inspection in many fields thanks to advanced vision sensors and image analysis methods. However, the difficult nature of pavement images, the small size of defects (cracks) lead to the fact that inspection in this area is done mostly manually. Each year in Tunisia, the operator must view images of thousands of kilometers of roads to detect...
The paper proposes an approach to recognize road signs in Google Street View panoramic images. The color images formed by special queries from the Google site with a 640×640 resolution serve as the input data for recognition. The recognition of the road signs is carried out by the use of the specific, while the classification is performed by the use of the neural network. The coordinates of the road...
In foggy and misty weather conditions, the contrast and color of images degrade. These degradation occur due to the attenuation of light and presence of air-light, light reflected from fog particles. Attenuation reduces the contrast and air-light increases the whiteness in the image. In this paper, a novel and efficient fog removal algorithm is proposed. The algorithm uses white color balancing with...
Traffic Sign Recognition (TSR) system is a significant component of Intelligent Transport System (ITS) as traffic signs assist the drivers to drive more safely and efficiently. This paper represents a new approach for TSR system using hybrid features formed by two robust features descriptors, named Histogram Oriented Gradient(HOG) features and Speeded Up Robust Features(SURF) and artificial neural...
the objective of this work is to compute the Time-to-Collision (TTC) of surrounding vehicles of a vehicle using motion information in driving video. The key advantage in this work is the extraction of potential danger without vehicle detection and recognition in prior, but directly from the motion divergence in the video. We analyze the trace expansion both horizontally and vertically condensed in...
Pixel-labeling approaches using semantic segmentation play an important role in road scene understanding. In recent years, deep learning approaches such as the deconvolutional neural network have been used for semantic segmentation, obtaining state-of-the-art results. However, the segmentation results have limited object delineation. In this paper, we adopt the de-convolutional neural network to perform...
A stereo vision based road free space detection method was proposed in this paper. In the method, we firstly use semi global stereo matching to get disparity map, which then is projected to V disparity. Secondly, we use a modified Hough Transformation method to detect slope line to model road surface in V disparity map, then detect the vanishing line via road surface model and eliminate road and sky...
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