Improved data reduction techniques for 3D data cubes obtained from Fabry-Perot integral field spectroscopy are presented. They provide accurate sky emission subtraction and adaptive spatial binning and smoothing. They help avoiding the effect analogous to the beam smearing, seen in HI radio data, when strong smoothing is applied to 3D data in order to get the most extended signal coverage. The ...

2D vessel segmentation algorithms working on 2D digital subtraction angiography (DSA) images suffer from inhomogeneous contrast agent distributions within the vessels. In this work, we present a novel semi-automatic vessel segmentation method based on local adaptive contrast enhancement. Either a forward projected 3D centerline or a set of manual selected seed points define the vessel branches ...

This paper presents an adaptive sensing system with visual feedback control, which can detect and track the moving target. The proposal algorithm based on subtraction, projection and correlation operation from a series of sequential images can estimate the motion vectors to control the pan and tilt servo motors which drive the charge coupled device (CCD) camera to track the moving target in rea...

ECG signal is able to identify different kind of heart disease. One of the critical heart problem is the abnormal heart beat behavior during sleep. This problem is recognized as sleep apnea. In this work, a feature adaptive model is presented for Sleep apnea identification. To generate the effective signal features, the spectral subtraction and DWT methods are applied at earlier phase. After ge...

In this paper, we present an approach for human fall detection, which has an important application in the field of safety and security. The proposed approach consists of two part: object detection and fall model. We use an adaptive background subtraction method to detect moving object and mark it with minimum-bounding box. Fall model uses a set of extracted features to analyze, detect and confi...

This project proposes a methodology for 3D tracking of objects in relation to a planar surface, with trajectory accuracy enhanced using applied statistical analysis. Planar surface extraction, with camera position and orientation invariance, is achieved by finding limiting regions established by graph-based segmentation and mapping the resulting segments to disparity data from a stereo camera. ...

An extension to adaptive signal subspace methods is presented, based on singular value decomposition (SVD) with an online estimation of the noise variance. With this approach aiming at automatic speech recognition (ASR) in adverse environmental conditions no speech detection has to be performed. A comparison of different SVD approaches and nonlinear spectral subtraction within ASR experiments o...

In this paper, the implementation of a robust front-end to be used for a large-vocabulary Continuous Speech Recognition (CSR) system based on a Voiced-Unvoiced (V-U) decision has been addressed. Our approach is based on the separation of the speech signal into voiced and unvoiced components. Consequently, speech enhancement can be achieved through processing of the voiced and the unvoiced compo...

Background: Based on the studies which have investigated conscious and unconscious processes, simple arithmetic operations such as addition and multiplication can be automatically processed in the brain and affect subsequent responses. However, most studies have focused on addition and multiplication of one-digit numbers. In this research we used subliminal priming paradigm to assess automatic ...

An effective technique for detecting and tracking moving vehicles in a typical parking lot is implemented. The technique involves adaptive realtime background subtraction and shadow removal followed by a set of morphological operations in order to enhance the foreground mask. The mask is then used to draw a distinct bounding box over the moving vehicles in the original video sequence. The outpu...