The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Discriminative correlation filters (DCF) have aroused great interests in visual object tracking in recent years due to the accuracy and computation efficiency. However, occlusion is still the main factor that affects performance. In this paper, a spatial-temporal consistent correlation filter utilizes the rich features extracted from a pre-trained convolutional neural network (CNN) is proposed to...
This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure, which indicates the patchwise matching probabilities between images from a target camera pair. The learned correspondence structure can not only capture the spatial correspondence...
Research on education has indicated that students have different abilities and needs. In other words, they tend to learn in different ways, these ways were called a learning style. Although the learning style in many developed countries has seen a significant amount of research [1, 2], unfortunately, in Arabic region this work is still in its infancy [3–5]. The literature review revealed that there...
In this paper, we address the problem of heavy occlusion where the negative samples contaminate the translation model. In this setting, we decompose the task of tracking into translation and scale estimations of objects. We use hierarchical convolutional features to estimate target position and update translation model, and we use HOG features for the scale filter. In addition, we evaluate the translation's...
In recent years, automatic visual inspection system has become useful tool in industrial process. The citrus fruit sorting and grading process has now been completely automated with the exception of the final stage of classification concerned with visual inspection. Due to the growing demand of quality citrus fruit, an automated and reliable identification and classification mechanism in order to...
Over the past 25 years, Learning Style Models have brought increasing attention to the fact that students have varying learning styles and students may enjoy learning only if teaching learning methodologies adapt to their learning style. There exists a lot of learning style models that determine the learning styles. However, addressing the needs of all styles of students is practically impossible...
Automatic texture quality evaluation is important but still unsolved difficult problem. While several generative mathematical texture models were developed, their reliable qualitative evaluation is for now possible only using impractical and expensive visual psycho-physics which hampers their further progress. We present the texture fidelity benchmark created to help the validation of texture fidelity...
Giorgio Vasari (1511 - 1574) was perhaps the first art-historian to earnestly record the life and times of the great artists of the Italian Renaissance. Of the many he recorded, Giotto di Bond one (1267 - 1337) is heralded as the 'father' of the Renaissance perspective style. However, contemporary research suggests much of Vasari's accounts of Giotto's life and travels are fictional. This paper attempts...
The purpose of the study is to investigate the reliability of the general sporting ability (GSA) protocols to identify sports talent among persons with blind and visually-impaired and also aimed to examine the differences in general ability among persons with blind and visually-impaired on selected general sporting ability protocols in Klang Valley, Malaysia. 77 persons with blind and visually-impaired...
The results of this study indicate that the Art Nouveau style of print advertisements, which combine fashion photography with digital illustrations, is extremely effective in drawing the attention of consumers, inciting their interest, and stimulating their desires. The research methods rely on sample print advertisement images to analyze the factors that make up their visual designs. The AIDA model...
To guide the practitioner's work in choosing between assessment methods, defined criteria to compare their benefits, costs, and limitations are needed. The goal of this paper is two-fold. Firstly, we develop an extensive comparison model to guide between-method comparisons based on a literature review. The model is composed of four main criteria, called economy, excellence, implementation and assessment...
Digital image steganography is the art of hiding information in other digital images. Moreover, image quality evaluation has many difficulties such as the amount of degradation or distortion induced in the reconstructed image. The peak signal-to-noise ratio (PSNR) is the most common metric used to evaluate the stego image quality. However, subjective evaluation is the most reliable method to measure...
We present a gradient-based motion capture system that robustly tracks a human hand, based on abstracted visual information - silhouettes. Despite the ambiguity in the visual data and despite the vulnerability of gradient-based methods in the face of such ambiguity, we minimise problems related to misfit by using a model of the hand's physiology, which is entirely non-visual, subject-invariant, and...
In this paper, a novel correlation-based motion vector processing method is proposed for motion compensated frame interpolation. We first address the problem of unreliable motion vectors due to low correlation. Unlike other motion vector processing methods using vector median filter, we proposed using bidirectional prediction difference to select the best motion vectors with constraint on increasing...
Work on the construction site is known to be inefficient due to workers spending much time waiting for materials, transporting materials and from frequent interruptions of tasks. Studies on the construction site typically use statistical measures to analyse the sampled data about work and such measures, while very useful, can overlook important features of the data. In this paper we apply a previously...
In this paper, we introduce and evaluate ScaleMesh, a scalable miniaturized dual-radio wireless mesh testbed based on IEEE 802.11b/g technology- ScaleMesh can emulate large-scale mesh networks within a miniaturized experimentation area by adaptively shrinking the transmission range of mesh nodes by means of variable signal attenuators. To this end, we derive a theoretical formula for approximating...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.