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Real-Time Discriminative Background Subtraction
IEEE Transactions on Image Processing, 2011The authors examine the problem of segmenting foreground objects in live video when background scene textures change over time. In particular, we formulate background subtraction as minimizing a penalized instantaneous risk functional--yielding a local online discriminative algorithm that can quickly adapt to temporal changes.
Li, Cheng +3 more
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Warping background subtraction
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a particular location in the image, we model the underlying warping of pixel locations arising from background motion.
Teresa Ko +2 more
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Fast Lighting Independent Background Subtraction
International Journal of Computer Vision, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ivanov, Yuri, Bobick, Aaron, Liu, John
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Simple background subtraction constraint for weakly supervised background subtraction network
2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019Recently, background subtraction based on deep convolutional neural networks has demonstrated excellent performance in change detection tasks. However, most of the reported approaches require pixel-level label images for training the networks. To reduce the cost of rendering pixel-level annotation data, weakly supervised learning approaches using frame-
Tsubasa Minematsu +2 more
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Background subtraction using dual-class backgrounds
2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016This paper presents a novel approach to background subtraction which aims to extract moving objects in video stream. To this end, a novel background model is proposed by using both working backgrounds and candidate backgrounds, which can be transferred to each other according to an adaptive mechanism.
Bingshu Wang +4 more
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Texture based background subtraction
2008 International Conference on Information and Automation, 2008Background subtraction is an effective technique for motion detection. A traditional background subtraction algorithm assumes a moving object (or objects) with respect to a static background, and segments the moving object(s) by classifying pixels into foreground and background with trained statistical models.
null Dongxiang Zhou +2 more
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Foreground-Adaptive Background Subtraction
IEEE Signal Processing Letters, 2009Background subtraction is a powerful mechanism for detecting change in a sequence of images that finds many applications. The most successful background subtraction methods apply probabilistic models to background intensities evolving in time; nonparametric and mixture-of-Gaussians models are but two examples.
J. Mike McHugh +3 more
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Bayesian PIXE background subtraction
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 1999Abstract The subtraction of the X-ray background in a PIXE spectrum has been the subject of many investigations and different techniques have been developed. These techniques vary from filtering to fitting polynomial functions. The promising Bayesian Statistics technique has been used in this study to eliminate the background from the spectrum in a ...
Padayachee, J. +4 more
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