In this paper, an algorithm is introduced combining a template matching technique with background subtraction to detect moving targets on a road captured on video using a static camera. The designed algorithm based on combining the two techniques is to reduce the difficulties in background estimation and improve the processing time, etc. The proposed algorithm was tested in two different video ...

This work deals with a background subtraction algorithm for a fish-eye lens camera having 3 degrees of freedom, 2 in translation and 1 in rotation. The core assumption in this algorithm is that the background is considered to be composed of a dominant static plane in the world frame. The novelty lies in developing a rank-constraint based background subtraction for equidistant projection model, ...

Abstract: Background subtraction is the one of the crucial step in detecting the moving object. Many techniques were proposed for detected moving object however there are few comparative studies carried out to verify their performance. In this paper a performance comparison of different background subtraction algorithms is carried out from the literature as well as through implementation. We in...

Nowadays moving object detection has become a very prime area for research due to its use in various computer vision applications. Beside from the vital benefit of being able to differentiate video streams into moving and background content, detecting moving objects provides a purpose of attention for recognition, classification and activity scrutiny making these later steps more effective. Thi...

A speech enhancement method based on probabilistic geometric approach to spectral subtraction (PGA) performed on short time magnitude spectrum is presented in this paper. A confidence parameter of noise estimation is introduced in the gain function of the proposed method to prevent subtraction of the overestimated and underestimated noise, which not only removes the noise e ciently but also pre...

In this study, we propose an Adaptive Sub-Band Spectral Subtraction (ASBSS) method which can vary noise subtraction rate according to SNR in frequency bands at each frame. In the conventional Spectral Subtraction(SS), speech spectral is estimated by adjusting noise subtraction rate according to SNR. In general, SNR is defined and computed as the average over all the input speech signal. However...

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 ...

Moving object segmentation has its own niche as an important topic in computer vision. It has avidly being pursued by researchers. Background subtraction method is generally used for segmenting moving objects. This method may also classify shadows as part of detected moving objects. Therefore, shadow detection and removal is an important step employed after moving object segmentation. However, ...