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This conceptual paper examines the computer identification of signs called day markers that commonly appear for navigation purposes in a marine channel waterway. Most people are familiar with these signs when navigating in a boat as they appear either as red triangles, green rectangles or diamonds since they aid navigation through the channel. The paper focuses on a proposed classifier using Procrustes...
Character segmentation from License plate is challenging as it suffers from non-uniform illumination, blur and touching adjacent character due to head light of vehicles effect etc. This paper presents a new approach based on sharpness of character and the space regions for segmentation. We explore Gradient Vector Flow Opposite Direction Pair of pixels for seed point's selection. From the seed points,...
Road safety is influenced by the adequate placement of traffic signs. As the visibility of road signs degrades over time due to e.g. aging, vandalism or vegetation coverage, sign maintenance is required to preserve a high road safety. This is commonly performed based on inventories of traffic signs, which should be conducted periodically, as road situations may change and the visibility of signs degrades...
To deal with road accidents, especially accidents caused by trucks containing dangerous products, the possible solution is to control these vehicles' passage. We aim at developing a software technique confirming that all the entered engines inside a tunnel are securely quitted, to guarantee that no accidents, no breakdowns have occurred inside. To implement such solution, we identify the ingoing and...
This paper proposes a method to detect the lanes from the aerial videos, which is composed of two parts: image pre-processing and the lane detection. The first part, image pre-processing, mainly includes down-sampling, image binarizing and lane edge getting, and then a low resolution binary image will be gotten. The second part consists of the line parameter getting based on Hough Transform, false...
The research described in this paper consists in developing a system for re-identifying people across multiple non-overlapping cameras. The proposed approach consists of three main steps: appearance-based feature extraction, data projection on manifold space, and similarity estimation for person re-identification. We first decompose the human image into a grid of patches and characterize each patch...
Inspection of petroleum pipelines is very crucial for oil and gas companies. Using a ROV (Remotely Operated Vehicle) for pipeline inspection requires extensive expenses due to heavy equipment and a large number of crew members for operations. In order to save the inspection cost, Kasetsart University and PTTEP have cooperated to conduct a research and development of a specialized AUV (Autonomous Underwater...
This paper presents an approach method to detect vehicle color and to classify multi vehicle from video data. The multi vehicle is classified by blob analysis and feature-based. The proposed method uses a video file recorded by traffic surveillance camera as input. This technique applied RGB (Red, Green and Blue) to detect color of vehicle image. The vehicle is separated from background by using optical...
Number plate recognition has been used widely for access control, congestion control, vehicle management, security control and vehicle behavior monitoring system. This study discusses the importance of number plate recognition and its corresponding application in different countries. Various methods for recognizing number plates are reviewed. Most of the systems are able to deliver good recognition...
Self-adaptive systems can adapt to environmental changes. In spite of many studies of self-adaptive systems, there are few implementations of them on real-world hardware. One of the main reasons for this is that the existing programming frameworks do not pay enough attention to the constraints on real-world hardware. In this study, we focus on an adaptation mechanism for real-world embedded systems...
The opportunity of using smart mobile devices (e.g. smartphones) for traffic light detection, on-board of vehicles, is investigated in this paper. We focus on developing an algorithm suitable for the processing capabilities of a mobile device, with promising detection capabilities. Candidate points for traffic lights are extracted using Gaussian distributions for hue, saturation and lightness with...
In order to remove the problem of the shadow of moving vehicles in video surveillance, this paper presents an algorithm based on projection features of the connected regions to eliminate the dynamic shadow. Firstly, the Frame Difference method is applied to image blocks to extract the background. Then, the moving vehicles are detected as the foreground in the current frame by background subtraction...
This paper presents a vision-based Leader-Follower cooperative scheme which consists of two underwater vehicles in the absence of explicit communications and direct information interchange. A novel method for implicitly calculating the relative pose between the two vehicles is introduced. The absolute and relative localization algorithm is solely based on the observation of visual features projected...
This paper describes a vision-based method of guiding autonomous vehicles within crop rows in agricultural fields where the crop rows are challenging to detect or their appearance is not known a-priori. The location of the crop rows is estimated with an SVM regression algorithm using colour, texture and 3D structure descriptors from a forward facing stereo camera pair. Our system rapidly learns a...
We present a behavioral approach for autonomous robotic exploration of marine habitat with collision avoidance given little or no prior information. In our previous work, a vision-based reactive navigation paradigm with a predefined forward direction allowed an underwater robot to avoid unexpected obstacles. In this work, we have now incorporated visual perceptive invariants to guide the navigation...
In order to enhance the effects of license plate recognition in intellectual transport domain, this article carries out positioning, partitioning and characteristics extracting on license plate images that have been collected, so as to realize the function of license plate character recognizing. In order to boost the contrast on a license plate and to reduce noises, methods of gray degree reinforcing...
In this study, we developed a driver-assistance system on Lane Detection during nighttime by mounting a CCD camera inside the car to capture images and to use computer visions to detect lanes and the driving condition in front of the vehicle. This system can increase the safety of driving during low light condition. The features of this system includes: lane detection, surrounding vehicles detection,...
This paper introduces a dramatically novel traffic signs recognition (TSR) system that can perform traffic sign detection and tracking simultaneously. The proposed approach utilizes intensity images and the depth images, in parallel, to robustly detect and track traffic signs in real-time. Additionally, we suggest to supplement the ordinary traffic signs with the corresponding quick-response (QR)...
License plate can be used for identifying vehicle since it is unique for each vehicle. In this paper proposes a fast technique for identifying the vehicle licenseplate. Here first the input image is binarized by adaptive thresholding and then image is enhanced by unwanted-line elimination algorithm (ULEA). Then on applying VEDA vertical edges of the image is detected. Then number of possible candidate...
This paper addresses the challenging domain of vehicle classification from pole-mounted roadway cameras, specifically from side-profile views. A new public vehicle dataset is made available consisting of over 10000 side profile images (86 make/model and 9 sub-type classes). 5 state-of-the-art classifiers are applied to the dataset, with the best achieving high classification rates of 98.7% for sub-type...
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