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In this paper, a new visual tracking approach via the local patches and the contextual information of the target is presented. In the tracking procedure, the target object is decomposed into a set of patches of equal size and each patch is represented by using intensity and gradient histograms. Then, the likelihood of local patches is defined as the weighted sum of reliability and stability indices,...
This paper presents a parallax adjustment method for 3D video to improve the visual comfort of the 3D video. Firstly, matching algorithm based on SIFT (Scale Invariant Feature Transform) is used to obtain the accurate horizontal parallax and vertical parallax of the feature points between the left-view and the right-view of the 3D video. Then the range of horizontal parallax with comfort viewing is...
In this paper, we aim at synthesizing a texture from a high-resolution patch and a low-resolution image. To do so, we solve a nonconvex optimization problem that involves a statistical prior and a Fourier spectrum constraint. The numerical analysis shows that the proposed approach achieves better results (in terms of visual quality) than state-of-the-art methods tailored to super-resolution or texture...
Automatically assessing the quality of a photo is an important and challenging topic in visual computing. Previous methods mainly focus on image structures and image degradations caused by noise, distortion, or algorithmic operations such as digitization and compression. However, with the development and popularization of digital image capture devices, particularly mobile devices such as smart phones...
Correct recognition of emotion veracity exhibited in facial gestures is troublesome for people. Yet, there is a belief that computer systems are able to perceive some tiny changes correlated to veracity expression, invisible for people, and therefore are able to improve proper perception of emotions. This work addresses the problem of spontaneous and posed smile recognition and suggests two approaches...
In this paper, the implementation to estimate the focus map spatially based on the intentional reblur of one image, which is the only input data, is presented. This enables flexible computation in the spatial domain, rather than the frequency domain. The gradient magnitude term widely used in image processing was used to derive a ratio map. The pixels closer to the focal point of the camera were on...
Network analysis based on anatomical covariance (cortical thickness) has been gaining increasing popularity in the last decade. However, there has not been a systematic study of the impact of nodal sizes and edge definitions on predictive performance among various network studies. In order to obtain a clear understanding of relative performance, there is a need for systematic comparison. In this study,...
In this paper, we explore building classifiers to detect Salsa dance step primitives in choreographies available in the Huawei 3DLife data set. These can collectively be an important component of dance tuition systems that support e-learning. A dance step is reasoned as the shortest possible extract of bodily motion that can uniquely identify a particularly repeatable movement through time. The representation...
In this paper we propose an automatic marine life monitoring system. First task in the monitoring process is to detect underwater moving objects as fishes. Second Task is to identify the species of the detected fish. Third task is to track the detected fish to avoid multiple counting and record their activities. Detection is performed using GMM based background subtraction method, classification is...
In medical information retrieval research, automatically classifying X-ray images based on body-parts is a challenging problem. In ImageCLEF's 2015 campaign there was a contest where the participants were challenged to cluster X-ray images into different groups based on presence of particular body-part in that X-ray image. In brief the challenge was to classify given X-ray images primarily into five...
In SLAM systems, loop closures play crucial role to decrease the accumulating drift of the estimated trajectory for consistent mapping. Place recognition is so important for determining loop closure candidates. This paper presents a method for visual place recognition using image histograms in conjunction with keypoint correspondences to select loop closure candidates. The method compares color and...
Twitter is currently the most popular tool for social interaction and real-time information exchange. Outreach and importance of individual accounts is measured by the number of their followers. The aim of this paper is to investigate the applicability and usefulness of corpora containing textual and visual information for the purpose of machine observation of Twitter activities. The results in the...
Particle filters perform the nonlinear estimation and have been proven to be a powerful tool in solving visual tracking problems. However, the problem of sample impoverishment is still a drawback of particle filter. To solve this problem, a bat-inspired particle filter is proposed in this work. The particles in the particle filter are optimized using a new biologically inspired optimization algorithm,...
Information Security becomes a key area in computer science because securing the information from the attacks and vulnerabilities is important. At present foremost component in securing data can be considered as cryptography algorithms and protocols. With the recent large attack base on cryptography schemes and technology trending into more powerful computing of quantum computing, cryptography-based...
In image / video systems, the contrast adjustment which manages to enhance the visual quality is nowadays an important research topic. Yet very limited efforts have been devoted to the exploration of image quality assessment (IQA) for contrast adjustment. To address the problem, this paper proposes a novel reduced-reference (RR) IQA metric with the integration of bottom-up and top-down strategies...
Visual Saliency Estimation is a computer vision problem that aims to find the regions of interest that are frequently in eye focus in a scene or an image. Since most computer vision problems require discarding irrelevant regions in a scene, visual saliency estimation can be used as a preprocessing step in such problems. In this work, we propose a method to solve top-down saliency estimation problem...
Hemocytometer is a special glass plate apparatus used for cell counting that has straight lines (counting chamber) in certain size. Leveraging this special lam and microscope, a cell concentration on an available cell suspension can be estimated. The automation process of hemocytometer images will assist several research disciplines to improve consistency of results and to reduce human labor. Different...
We designed SymPaD framework, a model-driven visual dictionary construction and description method, with new shape models and quantized shape library. We demonstrate that, with this new design, the most current model-driven dictionary construction method is outperformed with even smaller dictionary in object recognition and image retrieval tasks.
This paper proposes using both of the Histogram matching and wavelet fusion as an enhancement technique for infrared images (IR). Evaluation metrics for image enhancement includes entropy, standard deviation, edge intensity, contrast and average gradient. Results revealed that histogram matching of IR images to visual images enhances of the appearance of the images. Moreover, wavelet fusion can achieve...
This paper presents a robust and efficient automatic visual surveillance system to detect presence of human being in restricted zones that are off limit i.e. military installations, secure depository, border areas etc. The system is based on multi-algorithms namely HAAR wavelet (HAAR), Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) and capable to tackle the following challenges:...
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