1 MULTI-CHANNEL SPEECH ENHANCEMENT IN A CAR ENVIRONMENT USING WIENER FILTERING AND SPECTRAL SUBTRACTION Joerg Meyer and Klaus Uwe Simmer University of Bremen, FB{1, Dept. of Telecommunications P.O. Box 33 04 40, D-28334 Bremen, Germany, Fax: +(49)-421/218-3341, e-mail: [email protected] ABSTRACT This paper presents a multichannel-algorithm for speech enhancement for hands{free telephone ...

The detection of moving objects from video frames plays an important and often very critical role in different kinds of machine vision applications including human detection and tracking, traffic monitoring, humanmachine interfaces and military applications, since it usually is one of the first phases in a system architecture. A common way to detect moving objects is background subtraction. In ...

The accuracy of diaphragm electromyogram (EMGdi) derived parameters, as used in critically ill intensive care unit (ICU) patients, can be compromised due to electrocardiographic (ECG) interference the EMGdi signal. Removal ECG contamination from esophageal recordings is challenging spectral overlapping EMG and signals because variability shape amplitude. Therefore, we designed an Estimated Subt...

BACKGROUND The electrocardiogram artifact is a major contamination in the electromyogram signals when electromyogram signal is recorded from upper trunk muscles and because of that the contaminated electromyogram is not useful. Objective : Removing electrocardiogram contamination from electromyogram signals. METHODS In this paper, the clean electromyogram signal, electrocardiogram artifact an...

We propose the SAViBe+ algorithm, a new approach for moving object detection based on ViBe background subtraction algorithm with an adaptive shadow detector. Because ViBe cannot handle scenes containing gradual illumination variations, and eliminate shadows cast by moving objects, an adaptive shadow detector is designed to detect and eliminate the shadow of a moving object, adapting to variatio...

Identifying moving objects from a video sequence is a fundamental and critical task in many computer-vision applications. A common approach is to perform background subtraction, which identifies moving objects from the portion of a video frame that differs significantly from a background model. There are many challenges in developing a good background subtraction algorithm. First, it must be ro...

Background subtraction is an important component of many computer vision systems. In this paper, we present a fast and efficient texture-based method for background subtraction in a video sequence. At first, a novel LBP (Local Binary Pattern) operator called εLBP is applied to extract the local description of each pixel. Then, the kernel of background subtraction is performed based on two princ...

Background modeling is an important issue in video surveillance. A sophisticated and adaptive background model can be used to detect moving objects which are segregated from the scene in each image frame of the video via the background subtraction process. Many background subtraction methods are proposed for video acquired by a stationary camera, assuming that the background exhibits stationary...

Traditional background subtraction methods perform poorly when scenes contain dynamic backgrounds such as waving tree, spouting fountain, illumination changes, camera jitters, etc. In this paper, a novel and effective dynamic background subtraction method is presented with three contributions. First, we present a novel local dependency descriptor, called local dependency histogram (LDH), to eff...

vertebral anomalies may also distort the normal regional or global spinal alignment and necessitate some therapeutic interventions. hemiepiphysiodesis is a traditional procedure usually described for these young patients but in more severe cases some type of osteotomy seems to be necessary. in this technical note, we describe a 5-year-old boy with failed previous hemiepiphysiodesis surgery, who...