In this paper we have studied two information fusion approaches, namely feature vector concatenation and decision fusion, for the task of reducing error rates in a speaker verification system used in mismatched conditions. Three types of features are fused: Mel Frequency Cepstral Coefficients (MFCC), MFCC with Cepstral Mean Subtraction (CMS) and Maximum Auto-Correlation Values (MACV). We have u...

We propose a novel human-computer interface for video gaming systems. Unlike current systems that use active sensors (e.g. Kinect), in the proposed approach, the human-poses are captured by a single camera and used to control the course of the game. This eliminates the need for traditional hand-held controllers and allows for the player to be immersed into the virtual environment of the game. T...

This paper presented an approach to building background model for moving object detection using unsupervised artificial neural network (ANN) without any prior knowledge about foreground objects. First, using local binary pattern (LBP) which is texture feature, builds a statistical Background Model using ANN, then, comparing the behavior of next incoming frame with model and decide each pixel wh...

This paper proposes an unsupervised segmentation scheme for cell nuclei. This method computes the cell nuclei by using adaptive active contour modelling which is driven by the morphology method. Firstly, morphology is used to enhance the gray level values of cell nuclei. Then binary cell nuclei is acquired by using an image subtraction technique. Secondly, the masks of cell nuclei are utilized ...

conclusions bscta is easily accessible, less time consuming, and most importantly, a non-invasive technique for detecting intracranial aneurysms. it is also suitable for patients who have been referred to emergency services. therefore, it can be used in emergency conditions and as a first-line diagnostic method in patients with non-traumatic sah. patients and methods sixty consecutive patients ...

In this paper, we propose a method which detects salient moving objects with lightcomputational load. Though Gaussian Mixture Model is widely used for object detection, it is computationally heavy. On the other hand, basic methods like temporal difference are simple and fast but they have constraints as hole or ghost problems. We have combined these algorithms to overcome each one’s weakness. W...

Background noise significantly degrades speech perception for persons with sensorineural hearing impairment. A single-input speech enhancement using adaptive dynamic quantile tracking for estimating the noise spectrum is presented for improving performance of hearing aids. A histogram for each spectral sample is estimated by dynamically tracking ten quantiles and the histogram peak is used as t...