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Asynchronous Semantic Background Subtraction [PDF]
Journal of Imaging, 2020 The method of Semantic Background Subtraction (SBS), which combines semantic segmentation and background subtraction, has recently emerged for the task of segmenting moving objects in video sequences.
Anthony Cioppa +2 more
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Background subtraction for night videos [PDF]
PeerJ Computer Science, 2021 Motion analysis is important in video surveillance systems and background subtraction is useful for moving object detection in such systems. However, most of the existing background subtraction methods do not work well for surveillance systems in the ...
Hongpeng Pan +3 more
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Face Presentation Attack Detection Using Deep Background Subtraction [PDF]
Sensors, 2022 Currently, face recognition technology is the most widely used method for verifying an individual’s identity. Nevertheless, it has increased in popularity, raising concerns about face presentation attacks, in which a photo or video of an authorized ...
Azeddine Benlamoudi +6 more
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Extended Codebook with Multispectral Sequences for Background Subtraction [PDF]
Sensors, 2019 The Codebook model is one of the popular real-time models for background subtraction. In this paper, we first extend it from traditional Red-Green-Blue (RGB) color model to multispectral sequences.
Rongrong Liu +2 more
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Background Subtraction Based on Three-Dimensional Discrete Wavelet Transform [PDF]
Sensors, 2016 Background subtraction without a separate training phase has become a critical task, because a sufficiently long and clean training sequence is usually unavailable, and people generally thirst for immediate detection results from the first frame of a ...
Guang Han, Jinkuan Wang, Xi Cai
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Background Subtraction Approach Based on Independent Component Analysis [PDF]
Sensors, 2010 In this work, a new approach to background subtraction based on independent component analysis is presented. This approach assumes that background and foreground information are mixed in a given sequence of images.
Hugo Jiménez-Hernández
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An Adaptive Background Subtraction Method Based on Kernel Density Estimation [PDF]
Sensors, 2012 In this paper, a pixel-based background modeling method, which uses nonparametric kernel density estimation, is proposed. To reduce the burden of image storage, we modify the original KDE method by using the first frame to initialize it and update it ...
Mignon Park, Jeisung Lee
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Background Subtraction Combining l1/2 Norm and Saliency Constraint [PDF]
Jisuanji gongcheng, 2022 The conventional background subtraction model extracts the foreground more effectively when the background is static and the foreground object propagates rapidly.However, when the background is dynamic or the foreground object propagates slowly, the ...
ZHANG Guoting, CHEN Lixia, ZHOU Zefeng
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BeppoSAXLECS background subtraction techniques [PDF]
Astronomy and Astrophysics Supplement Series, 1999 We present 3 methods for the subtraction of non-cosmic and unresolved cosmic backgrounds observed by the Low-Energy Concentrator Spectrometer (LECS) on-board BeppoSAX. Removal of these backgrounds allows a more accurate modeling of the spectral data from point and small-scale extended sources.
Parmar, A. N. +7 more
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Fast and Accurate Background Reconstruction Using Background Bootstrapping
Journal of Imaging, 2022 The goal of background reconstruction is to recover the background image of a scene from a sequence of frames showing this scene cluttered by various moving objects.
Bruno Sauvalle, Arnaud de La Fortelle
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