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In our daily life we develop many activities that result imperceptible for the majority of us because the null effort that they represent to develop them, however, when we most develop those activities with any type of restriction, they acquire a higher level of difficulty. One simple activity is the communication process; we develop it in an easy way during almost all day, however, for people with...
In order to reduce the traffic accidents caused by fatigue driving, on the basis of analyzing the current fatigue driving detection methods, the fatigue state detection technology based on human eye state detection is studied. Based on the characteristics of skin color, the color space transformation of YCbCr is used to achieve face location to improve the efficiency of image processing. The binary...
With the aim of improve minig safety, this work presents a new development intended to detect a long eye closure of the drivers of huge mining trucks. Information is being captured with an artificial vision system and the resulting images are being processed using the “dlib” library. The improvements achieved are going to be incorporated in an integrating system intended to globally improve the mining...
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...
In a diverse country like India, gated communities, corporate premises and university campuses witness a lot of unfamiliar vehicles with number plates in different formats, fonts, font sizes and sometimes even in various languages which enter and leave the estate every day, and it is difficult to register the vehicle numbers manually even for a multi-lingual person. This document aims to extract image...
In order to make the computer own the knowledge about Chinese vehicle license plate segmentation and recognition, the paper put forward a set of algorithms about license plate segmentation and recognition. The algorithms are divided into four parts: image preprocessing, license plate location, license plate segmentation and character recognition. The aim of image preprocessing is quickly and easily...
Recognition of vehicle license plates is an important task in several real applications. Most approaches first detect a vehicle, locate the license plate and then recognize its characters. However, the focus relies on performing these tasks using only a single frame of each vehicle in the video. Therefore, such approaches might have their recognition rates reduced due to noise present in that particular...
Real-time modeling of the surrounding environment is a key functionality for autonomous navigation. Bird view grid-based approaches have interesting advantages compared to feature-based ones. Methods able to encode occupancy information and to manage perception uncertainty in dynamic environments are quite well known but very few studies have been carried out on encoding semantic information in grids...
This paper describes an efficient method for drowsiness detection by three well defined phases. These three phases are facial features detection using Viola Jones, the eye tracking and yawning detection. Once the face is detected, the system is made illumination invariant by segmenting the skin part alone and considering only the chromatic components to reject most of the non face image backgrounds...
The road safety is a problem which was approached by several countries following a big raise of the number of accidents. The drowsiness represents one among the causes of the road accidents. The accidents related to the drowsiness often occur on the highways, but also on the main roads, even inside the localities. Today, it is possible to detect the state of tiredness of the driver with the development...
Kangaroo vehicle collisions are a serious problem threatening the safety of the drivers on Australian roads. It is estimated, according to a recent report by Australian Associated Motor Insurers, that there are around 20,000 kangaroo vehicle collisions during year 2015 in Australia. As a result, more than AU \$75 million in insurance claims, and a number of animal and human severe injuries and fatalities...
Automatic traffic sign detection and recognition is a field of computer vision which is very important aspect for advanced driver support system. This paper proposes a framework that will detect and classify different types of traffic signs from images. The technique consists of two main modules: road sign detection, and classification and recognition. In the first step, colour space conversion, colour...
This paper describes the development of a system for automatic number plate recognition of Colombian vehicles. This system is based on an embedded system with mixed processing capability, specifically using the ZedBoard, which includes a Zynq 7000 Xilinx device. The results presented in this document correspond to the first part of a research project, which involves the license plate number recognition...
This paper considers robust vehicle logo recognition (without aiming at accurate location) for intelligent transportation systems. We propose a recognition-before-location framework for multi-scale vehicle logos which exploits a directional SIFT flow parsing method. We extract dense SIFT descriptors of different standard vehicle logos. An improved matching method is proposed to obtain a directional...
Detecting roads using monocular vision is a very challenging task as the detection algorithm must be able to deal with complex real-road scenes. In this paper, we describe an algorithm for general path segmentation. There are three main technical contributions of the approach. First, a path segmentation framework is presented, which formulates road detection as a Bayesian posteriori estimation problem...
In this paper, we propose the dense disparity map-based pedestrian detection method for intelligent vehicle. The dense disparity map is utilized to improve the pedestrian detection performance. Our method consists of several steps namely, obstacle area detection using road feature information and column detection, pedestrian area detection using dense disparity map-based segmentation, and pedestrian...
Research on moving vehicle detection based on Video and Image Processing is a significant research topic in image processing and computer vision, and is also a basic and key work in intelligent traffic system field, which directly affects the follow-on object identification and tracking, analysis and understanding of the traffic scene. In this paper detection of moving vehicles has been studied, analyed...
Headlights detection is the key point for the automatic recognition of the turned-on high beams in night-driving vehicles, however, it is uneasy to identify the quite similar vehicle light targets from the video frame images. To solve this problem, an accurate algorithm for headlights region segment is proposed in this paper, which is based on the confidence intervals estimation of the vehicle width...
Vehicle detection and recognition from aerial imagery provides useful information for local vehicle volume estimation and traffic monitoring. In this paper, we propose a method that accurately detects vehicles in urban environment using a probabilistic classification method followed by a refinement based on object segments. Both classification and segmentation methods make use of coregistered aerial...
The detection of moving object is one of the major steps in computer vision applications such as human-machine interface, medical analysis, robotics, traffic surveillance, etc. In our paper we applied Gaussian Mixture Model (GMM), which is established on background subtraction. Smoothing method was used for the pre-processing stage and morphological filter was applied to remove the unwanted pixels...
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