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This paper proposes a new visual object tracking algorithm using a novel Bayesian Kalman filter (BKF) with simplified Gaussian mixture (BKF-SGM). The new BKF-SGM employs a GM representation of the state and noise densities and a novel direct density simplifying algorithm for avoiding the exponential complexity growth of conventional KFs using GM. Together with an improved mean shift (MS) algorithm,...
Self adaptive video games are important for rehabilitation at home. Recent works have explored different techniques with satisfactory results but these have a poor use of game design concepts like Challenge and Conservative Handling of Failure. Dynamic Difficult Adjustment with Help (DDA-Help) approach is presented as a new point of view for self adaptive video games for rehabilitation. Procedural...
When comparing clustering results, any evaluation metric breaks down the available information to a single number. However, a lot of evaluation metrics are around, that are not always concordant nor easily interpretable in judging the agreement of a pair of clusterings. Here, we provide a tool to visually support the assessment of clustering results in comparing multiple clusterings. Along the way,...
The key point in the de-noising of Event-Related Potentials (ERP) is to give a clear visualization of ERP between different trials representing different types of emotions (Anger, Surprise, Fear, Sadness, Happiness, Neutral).We used 6 pictures representing each emotion as a stimulus to a male actor and recorded a total of 60ERP trials 10 for each emotion. A Mexican hat wavelet was used to de-noise...
Code clones often result in code inconsistencies, which eventually increase cost and degrade quality. Web applications have higher rate of clones than normal software and it is more and more necessary to detect clones in web applications. In this paper, three levels of views in detecting clone pairs are suggested for a web application. The proposed technique utilizes relationships between web pages,...
Patients with low vision have reduced visual acuity and a significant loss of contrast sensitivity resulting in gross blurring of the visual scene over a significant area of their field of view. This paper describes a robust approach for edge enhancement for visual impairments patients, based on simplifying the visual scene to remove unnecessary textures and then enhance the edges of the simplified...
We propose a new effective shape descriptor, chord context, for shape description in content-based image retrieval. For a shape, the chord context describes a frequency distribution of chord lengths with different orientations. The histograms which represent the chord context are compacted and normalized into a feature matrix. Unlike other shape representation schemes, the proposed scheme is able...
In this paper, we present a localization algorithm for estimating the 3D position and orientation (pose) of a moving vehicle based on visual and inertial measurements. The main advantage of the proposed method is that it provides precise pose estimates at low computational cost. This is achieved by introducing a two-layer estimation architecture that processes measurements based on their information...
We present a novel algorithm based on Beamlet Transform for extracting seam edges from noisy welding images. Taking into account of some special characteristics of welding image processing, we introduce an orientation-thresholding step as well as a two-scan method to the standard beamlet-based line detection algorithm. Experiments are conducted to extract edge features from noisy welding images at...
This study involved an evaluation of our V/Q system by five radiologists using forty-nine clinical data sets. The experts compared the quality of the registration and the color visualization methods. A Web-based user interface was developed to display color-enhanced images and to manipulate those images. The original gray scale image sets were also transformed to a green color table for ventilation...
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