This paper addresses the problem of source extraction in a complex scene where only moving audio sources are present. An algorithm using a unique yet simple method avoiding higher-order statistics has been developed. The principle idea of the algorithm is to use a video camera array for locating a moving source whose position is used to isolate a noise reference, and thus allowing noise subtrac...

An improved spectral subtraction algorithm for enhancing speech corrupted by additive wideband noise is described. The artifactual noise introduced by spectral subtraction that is perceived as musical noise is 7 dB less than that introduced by the classical spectral subtraction algorithm of Berouti et al. Speech is decomposed into voiced and unvoiced sections. Since voiced speech is primarily s...

Moving object detection is essential in many computer vision systems as it is generally first process which feeds following algorithmic steps after getting camera stream. Thus quality of moving object detection is crucial for success of the whole process flow. It has been studied in the literature over the last two decades but it is still challenging issue because of factors such as background ...

In this paper proposes new strategies for object tracking initialization using automatic moving object detection based background subtraction. The new strategies are integrated into the real-time object tracking system. The proposed background model updating technique and adaptive thresholding are used to produce a foreground object mask for object tracking initialization. Traditional backgroun...

In this paper we present new methods for object tracking initialization using automated moving object detection based on background subtraction. The new methods are integrated into the real-time object tracking system we previously proposed. Our proposed new background model updating method and adaptive thresholding are used to produce a foreground object mask for object tracking initialization...

In this paper, the speech signal is enhanced from the noisy speech signal using the proposed Least Mean Square (LMS) adaptive noise reduction algorithm. In this, the speech signal is enhanced by varying the step size as the function of the input signal. Objective and subjective measures are made under various noises for the proposed and existing algorithms. From the experimental results, it is ...

background and aims. in periapical radiographic technique, the changes will be visible only after considerable deposition or resorption while digital subtraction technique visualizes slight density changes. this study was aimed to compare visualization of density changes in conventional periapical radiographs and digital subtraction technique with or without image enhancement. materials and met...

Abstract Surface Related Multiple Elimination (SRME) usually suffers the issue of either over-attenuation that damages primaries or under-attenuation leaves strong residual multiples. This dilemma happens commonly when SRME is combined with least-squares subtraction. Here we introduce a more sophisticated subtraction approach facilitates better separation multiples from primaries. Curvelet-doma...