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A vision based vehicle guidance system deals with the detection and recognition of traffic signs. Traffic sign recognition system collects information ahead on the road and helps the driver to make timely decisions, making driving safer and easier. This paper deals with the detection and shape classification of traffic signs from image sequences using color information. Color based segmentation techniques...
In this paper we propose a new template based feature extractor called Hausdorff Metric Feature Extractor (HMFE). This feature extractor makes use of Hausdorff distance metric for calculating the corner strength. The working of HMFE is justified using the concept of derivatives and gradients. We have also analysed the performance of HMFE under the five criteria: detection, localisation, repeatability,...
This paper presents a novel auto white balance (AWB) algorithm for images based on an YCbCr color space. The proposed algorithm divides all the pixels into fourteen groups by Y luminance and CbCr color components. For accuracy, we employ an adaptive color samples that can obtain the sum of the accumulated pixels up to the standard group for estimating a degree of white objectpsilas color changes....
The detection of the stable local image features is one of the most critical tasks for many object recognition algorithms. The Scale Invariant Feature Transform (SIFT) has been shown to be effective to the image matching or object recognition. However, the large number of features generated by the SIFT is a disadvantage for the real time application. In this paper, we present a novel approach to detect...
With a growing emphasis on human identification, iris recognition as a biometric identification has recently received increasing attention. The first step in iris recognition is segmentation. In this paper a new segmentation approach is offered which does not use any information of color or texture as the segmentation cues. Instead, we use random sample consensus method to fit an ellipse or a circle...
In order to convert a color image into a monochrome one, luminance components of the pixels have been used as gray-levels for the representation of the monochrome image in HDTV standard. However, saliencies of the image embedded only in the chrominance components are disappeared in the monochrome image converted by using luminance components. To cope with this problem, A.A. Gooch et al. have proposed...
In content-based image retrieval (CBIR), similarity measures vary according to the user, and it is difficult to build a retrieval system which reflects the user's similarity measures automatically. Regarding CBIR as consisting of feature extraction, coarse classification and detailed matching stages, this work aims at reflecting the user's similarity measures in coarse classification. After obtaining...
In this paper, we propose a CIECAM02-based color image enhancement method which is particularly robust to scenes with bright surrounding. The proposed method detects color edges using a distance metric based on the characteristics of a human visual system (HVS). The CIECAM02 is inherently strong considering both HVS and surrounding conditions. A major problem of HVS is that the dark region appears...
In this paper, we have proposed a novel approach of license plate recognition system by adopting comprehensive features of license plate. Firstly, we originally combine the stroke width of license plate character with specified colors of license plate to segment the license plate region. Then, we use linear fitting method and projecting method to rectify the position of slant license plate. Furthermore,...
We present a simple multiple view 3D model for object tracking and identification in camera networks. Our model is composed of 8 distinct views in the interval [0, 7pi/4]. Each of the 8 parts describes the person's appearance from that particular viewpoint. The model contains both color and structure information about each view which are assembled into a single entity and is meant as a simple, lightweight...
Digital images have seen increased use in applications where their authenticity is of prime importance. This proves to be problematic due to the widespread availability of digital image editing software. As a result, there is a need for the development of reliable techniques for verifying an image's authenticity. In this paper, a blind forensic algorithm is proposed for detecting the use of global...
In this paper, we present local patterns constrained image histograms (LPCIH) for efficient image retrieval. Extracting information through combining local texture patterns with global image histogram, LPCIH is an effective image feature representation method with a flexible image segmentation process. This kind of feature representation is robust and invariant for several image transforms, such as...
Unlike edges, level lines are closed and less sensitive to external parameters. They provide a compact geometrical representation of images and they are, to some extent, robust to contrast changes. This paper proposes a novel and vectorial representation of color lines which does not require any color conversion. The topographic map is defined along each dominant color vector, from the body reflection,...
In this paper, we propose a compact illumination invariant color descriptor. Recent papers have shown that the rank measures of the pixels within a color image are invariant across illumination changes. We exploit this characteristic by measuring the rank correlation between different color components for pixels located at a particular distance from each other. This measure which takes into account...
This contribution concerns the retrieval of colour texture. The interband correlation structure is considered by modeling the heavy-tailed image wavelet histograms with a multivariate generalized Gaussian. As a similarity measure we propose to use the Rao geodesic distance, which, in contrast to the Kullback-Leibler divergence, exists in a closed form for any fixed value of the shape pa rameter of...
In this paper, we propose a novel content-based video retrieval method for short video clips which are stored on consumer video sharing Web sites. It is based on the Earth Mover's Distance which enables us to evaluate dissimilarities among videos where the number of shots and time length are different. As features extracted from videos, we use color, motion, sound and position of shots. By defining...
Connected operators are an important tool for the analysis of greyscale images. In extending them to colour and other vector images there are a number of issues that must be addressed, including the definition of extrema, region merging criterion and the preservation of idempotence. This paper reviews the recently proposed approaches to these problems and considers some of the choices which must be...
We present a hierarchical method for segmenting text areas in natural images. The method assumes that the text is written with a contrasting color on a more or less uniform background. No assumption is made regarding the language or character set used to write the text. In particular, the text can contain simple graphics or symbols. The key feature of our approach is that we first concentrate on finding...
Video summarization is a useful tool which allows a user to grasp rapidly the essence of a video. In the development of this research topic we propose a new method based on different individual content segmentation and selection tools in a collaborative system. The main innovation of this work is to merge results from different approaches, so as to benefit from their respective qualities. Our system...
We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters such as mixed moments provides a significantly reduced size representation. The discriminating power is comparable to that of the corresponding full high- dimensional histogram yet at far less spatial and computational complexity...
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