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Results 1 - 10
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2,338
Comparison of Static Background Segmentation Methods
, 2005
"... In the case of a static or motion compensated camera, static background segmentation methods can be applied to segment the interesting foreground objects from the background. Although a lot of methods have been proposed, a general assessment of the state of the art is not available. An important iss ..."
Abstract
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Cited by 18 (2 self)
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In the case of a static or motion compensated camera, static background segmentation methods can be applied to segment the interesting foreground objects from the background. Although a lot of methods have been proposed, a general assessment of the state of the art is not available. An important
High temperature limit in static backgrounds
, 2012
"... We prove that the hard thermal loop contribution to static thermal amplitudes can be obtained by setting all the external four-momenta to zero before performing the Matsubara sums and loop integrals. At the one-loop order we do an iterative procedure for all the 1PI (one-particle irreducible) one-lo ..."
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We prove that the hard thermal loop contribution to static thermal amplitudes can be obtained by setting all the external four-momenta to zero before performing the Matsubara sums and loop integrals. At the one-loop order we do an iterative procedure for all the 1PI (one-particle irreducible) one
Nonparametric model for background subtraction
- in ECCV ’00
, 2000
"... Abstract. Background subtraction is a method typically used to seg-ment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel non-parametric background model and a background subtraction approach. The model can ..."
Abstract
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Cited by 545 (17 self)
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Abstract. Background subtraction is a method typically used to seg-ment moving regions in image sequences taken from a static camera by comparing each new frame to a model of the scene background. We present a novel non-parametric background model and a background subtraction approach. The model
On Separation of Semitransparent Dynamic Images from Static Background
"... Presented here is the problem of recovering a dynamic image superimposed on a static background. Such a problem is ill-posed and may arise e.g. in imaging through semireflective media, in separation of an illumination image from a reflectance image, in imaging with diffraction phenomena, etc. In th ..."
Abstract
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Presented here is the problem of recovering a dynamic image superimposed on a static background. Such a problem is ill-posed and may arise e.g. in imaging through semireflective media, in separation of an illumination image from a reflectance image, in imaging with diffraction phenomena, etc
INTERACTIVE SEGMENTATION OF IMAGE SEQUENCES WITH NEAR-STATIC BACKGROUNDS
"... Segmentation of image sequences is a major and time consuming part of digital special effects production. Where the sequence is too complex to segment using fully automatic techniques it is often segmented entirely by hand. This paper presents a fast semi–automatic technique which allows interactive ..."
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interactive segmentation of image sequences with near–static backgrounds. An operator initially creates a very approximate segmentation of the scenes. A foreground probability map is automatically generated by using mixture models which represent known foreground and background colour distributions
Reliable Object Detection from a Static Background
"... A new reliable segmentation algorithm is presented to extract the objects from a known static background. Compared with the traditional background subtraction and thresholding method which is sensitive to variation of illumination and the object shadows, the proposed method tries to model and estima ..."
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A new reliable segmentation algorithm is presented to extract the objects from a known static background. Compared with the traditional background subtraction and thresholding method which is sensitive to variation of illumination and the object shadows, the proposed method tries to model
Finite Temperature Reduction of the SU(2) Higgs-Model with Complete Static Background
, 2008
"... Direct evaluation of the 1-loop fluctuation determinant of nonstatic degrees of freedom in a complete static background is advocated to be more efficient for the determination of the effective threedimensional model of the electroweak phase transition than the oneby-one evaluation of Feynman diagram ..."
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Direct evaluation of the 1-loop fluctuation determinant of nonstatic degrees of freedom in a complete static background is advocated to be more efficient for the determination of the effective threedimensional model of the electroweak phase transition than the oneby-one evaluation of Feynman
Detecting Dynamic Occlusion in front of Static Backgrounds for AR Scenes
, 2003
"... Correctly finding and handling occlusion between virtual and real objects in an Augmented Reality scene is essential for achieving visual realism. Here, we present an approach for detecting occlusion of virtual parts of the scene by natural occluders. Our algorithm is based on a graphical model of s ..."
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of static backgrounds in the natural surroundings, which has to be acquired beforehand. The design of the approach aims at providing real-time performance and an easy integration into existing AR systems. No assumptions about the shape or color of occluding objects are required. The algorithm has been
Video segmentation of unknown static background using min-cut
, 2007
"... In this report we introduce an algorithm for foreground layer extraction based on EM learning and min-cut. The background is unknown but assumed to be static, and the foreground is therefore defined as the dynamic part of the frame. From a single video stream our algorithm uses color cues as well as ..."
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In this report we introduce an algorithm for foreground layer extraction based on EM learning and min-cut. The background is unknown but assumed to be static, and the foreground is therefore defined as the dynamic part of the frame. From a single video stream our algorithm uses color cues as well
Automatic Moving Object Segmentation Using Adaptive Thresholding and Static Background Detection
"... In this paper, an efficient method of extracting video objects from video sequences is presented. This method is based on a background registration technique, which provides reliable background information based on accumulated frame difference. First, the frame difference between consecutive frames ..."
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In this paper, an efficient method of extracting video objects from video sequences is presented. This method is based on a background registration technique, which provides reliable background information based on accumulated frame difference. First, the frame difference between consecutive frames
Results 1 - 10
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2,338
