Background/foreground segmentation has a lot of applications in image and video processing. In this paper, a segmentation algorithm is proposed which is mainly designed for text and line extraction in screen content. The proposed method makes use of the fact that the background in each block is usually smoothly varying and can be modeled well by a linear combination of a few smoothly varying ba...

Real-time and accurate background modeling is an important researching topic in the fields of remote monitoring and video surveillance. Meanwhile, effective foreground detection is a preliminary requirement and decision-making basis for sustainable energy management, especially in smart meters. The environment monitoring results provide a decision-making basis for energy-saving strategies. For ...

Obtaining a foreground silhouette across multiple views is one of the fundamental steps in 3D reconstruction. In this paper we present a novel video segmentation approach, to obtain a foreground silhouette, for scenes captured by a wide-baseline camera rig given a sparse manual interaction in a single view. The algorithm is based on trimap propagation, a framework used in video matting. Bayesia...

1, 2, 3 U.G. Scholar, 4 Assistant Professor. Department of Electronics and Communication Engineering EGS Pillay Engineering College, Nagapattinam. [email protected] Abstract: The main aim of this project is to detect the foreground object from dynamic scene. The topic of tolerating background motions while detecting foreground motions in dynamic scene is widely explored by the recent f...

Even a fully loaded computer system, where the bottleneck resource is constantly busy, often has some idle capacities available on other resources. This proposal argues for using these idle capacities speculatively, increasing system performance for correct predictions. In such a system, all resources will ideally be constantly loaded with either regular foreground tasks, or speculative idle-ti...

A slowly moving foreground with an orthogonally moving background can induce self-motion perception in the same direction as the foreground motion (inverted vection; [Vision Research 40 (2000) 2915]). In the present study, we investigate the effect of sustained gaze deviation on inverted vection. We hypothesized that gaze deviation affects eye-movement information registered in the perceptual s...

In a football stadium environment with multiple overhead floodlights, many protruding shadows can be observed originating from each of the targets. To successfully track individual targets, it is essential to achieve an accurate representation of the foreground. Unfortunately, many of the existing techniques are sensitive to shadows, falsely classifying them as foreground. In this work an unsup...

Background modeling algorithms are commonly used in camera setups for foreground object detection. Typically, these algorithms need adjustment of their parameters towards achieving optimal performance in different scenarios and/or lighting conditions. This is a tedious process requiring considerable effort by expert users. In this work we propose a novel, fully automatic method for the tuning o...

This article considers the problem of foreground detection on depth maps. The problem of finding objects of interest on images appears in many object detection, recognition and tracking applications as one of the first steps. However, this problem becomes too complicated for RGB images with multicolored or constantly changing background and in presence of occlusions. Depth maps provide valuable...