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In this paper we explore the application of Genetic Programming (GP) to the problem of domain-independent image feature extraction and classification. We propose a new GP-based image classification system that extracts image features autonomously, and compare its performance against a baseline GP-based classifier system that uses human-extracted features. We found that the proposed system has a similar...
Edge detection algorithms often produce broken edges, especially in noisy images. We propose an algorithm based on discrete particle swarm optimisation (PSO) to detect continuous edges in noisy images. A constrained PSO-based algorithm with a new objective function is proposed to address noise and reduce broken edges. The localisation accuracy of the new algorithm is compared with that of a modified...
The quality of depth maps is crucial for 2D to 3D conversion, but high quality depth map generation methods are usually very time consuming. We propose an efficient semi-automatic depth map generation scheme based on limited user inputs and depth propagation. First, the original image is over-segmented. Then, the depth values of selected pixels and the approximate locations of T-junctions are specified...
Considering the simplicity and fast training speed of Haar-like features, the high detecting precision of HOG features, a combined method is proposed on the basis of the two features. Several rectangular features which can describe local human characteristics based on original features are added. The combined method can retain the precision of HOG features and increase the speed of detection at the...
In order to quickly and accurately detect microaneurysms of diabetic retinopathy images, a specific method is proposed in this paper, which eliminates useless information based on overall threshold, computes the set of overall connection domain, and precisely orientates microaneurysms by local threshold segmentation and local connection domain identification. Experimental results testify the good...
According to the features of the changing color of fire flames, the periodically increasing of area and the irregular changing in the shape of fire when the early fire breaks, we take fire flame as a kind of special moving object and make a research of it. The color characteristics in fire video images as well as the morphological changes are discussed in this paper, a comprehensive analysis of all...
View synthesis algorithms suitable for mobile devices are presented and discussed. The focus is on low complexity rendering methods that enable line wise processing. A full pixel accurate rendering algorithm is compared to two algorithms using sub pixel accuracy: One sub pixel accurate method applies a linear interpolation, while the other method utilizes rendering in an up-sampled domain. An analysis...
Handwritten recognition is a very active research domain that led to several works in the literature for the Latin Writing. The current systems tendency is oriented toward the classifiers combination and the integration of multiple information sources. In this paper, we describe an approach based on diversity measures for Arabic handwritten recognition using optimized Multiple classifier system. The...
This paper presents a real-time stereo algorithm that estimates scene depth information with high accuracy. Our algorithm consists of two novel components. First, we apply a modified two-pass aggregation to the adaptive cost aggregation process, use color similarity to calculate support weight, and introduce a credibility estimation mechanism to reduce accuracy loss during two-pass aggregation. Second,...
Automatic Language Identification (LID) in music has received significantly less attention than LID in speech. Here, we study the problem of LID in music videos uploaded on YouTube. We use a “bag-of-words” approach based on state-of-the-art content based audio-visual features and linear SVM classifiers for automatic LID. Our system obtains 48% accuracy for a corpus of 25000 music videos and 25 different...
The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectral image analysis. This technique produces at its output a hierarchical set of image segmentations. The automated selection of a single segmentation level is often necessary. We propose and investigate the use of automatically...
In this paper, we propose a novel multi-resolution background subtraction method. We adopt coarse to fine strategy, which is the essence the multi-resolution scheme, to obtain the foreground mask. The rough mask is first gained relied on the Single Gaussian Model, which holds minor computation cost. Then, the slightly accuracy mask is calculated by the Saliency-based Extraction Model, which contains...
Block-based image steganalysis, which uses smaller homogenous blocks from a given test image, was previously proposed to improve the steganalysis performance. Performance study on block-based image steganalysis in terms of block sizes and block numbers is conducted in this research. First, we analyze the dependence of the steganalysis performance on one of these two factors, and show that a larger...
In stereo vision researches, feature-based stereo matching algorithms have been widely used in the preference of low computation cost and high matching accuracy. This paper presents a new stereo matching algorithm based on feature links. The proposed method, which is called feature link matching, utilizes the length and color information of feature links in stereo images. The proposed algorithm is...
The greatest challenge on monitoring characters from a monocular video scene is to track targets under occlusion conditions. In this work, we present a scheme to automatically track and count people in a surveillance system. First, a dynamic background subtraction module is employed to model light variation and then to determine pedestrian objects from a static scene. To identify foreground objects...
This paper presents a Markov Random Field (MRF)-based approach for depth map super-resolution and enhancement. Given a low-resolution or moderate quality depth map, we study the problem of enhancing its resolution or quality with a registered high-resolution color image. Different from the previous methods, this MRF-based approach is based on a novel data term formulation that fits well to the unique...
License plate character segmentation is a crucial process of license plate recognition. During the process of image acquisition, because of light condition and the change of shooting distance and the diversity of the plate's format, the task become very challenging. Therefore, many algorithms are proposed under certain conditions, such as a fixed shooting distance or no illumination change. The purpose...
The problem of shadow detection is a challenging assignment in video surveillance systems. There are plentiful research achievements about shadow detection but they are not intellective owning to abundant manual input. In this paper, we describe a semi-supervised ensemble technique based on adaboost classifiers in a co-training framework. In this way to detect shadows just demand a fraction of labled...
In this paper, we propose a novel propagation-based stereo matching algorithm. Starting from an initial disparity map, our algorithm selects highly reliable pixels and propagates their disparities along the scan line to produce dense disparity results. The key idea is to construct a line segment region for each pixel with local color and connectivity constraints. The pixel wise line segments are efficiently...
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