Results 31 to 40 of about 1,776,544 (289)
Video Background Segmentation Using Adaptive Background Models [PDF]
, 2009 This paper proposes an adaptive background model which combines the advantages of both Eigenbackground and pixel-based gaussian models. This method exploits the illumination changes by Eigenbackground. Moreover, it can detect the chroma changes and remove shadow pixels using gaussian models. An adaptively strategy is used to integrate two models.
Xiaoyu Wu, Yangsheng Wang, Jituo Li
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Sensors, 2017 Background subtraction (BS) is one of the most commonly encountered tasks in video analysis and tracking systems. It distinguishes the foreground (moving objects) from the video sequences captured by static imaging sensors.
Guangle Yao +4 more
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Background Subtraction via Fast Robust Matrix Completion
, 2017 Background subtraction is the primary task of the majority of video inspection systems. The most important part of the background subtraction which is common among different algorithms is background modeling.
Ostadabbas, Sarah, Rezaei, Behnaz
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Challenges in imaging and predictive modeling of rhizosphere processes [PDF]
, 2016 Background Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management ...
Carminati, A. +6 more
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Robust background modelling in DIALS
Journal of Applied Crystallography, 2016 A method for estimating the background under each reflection during integration that is robust in the presence of pixel outliers is presented. The method uses a generalized linear model approach that is more appropriate for use with Poisson distributed data than traditional approaches to pixel outlier handling in integration programs.
James M. Parkhurst +6 more
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Tongxin xuebao, 2023 To solve the problems that the background reference frames are seriously contaminated by the foreground, and the bit rate increases suddenly incurred by the one-time transmission of the background frames, a progressive background frame generation method ...
Wei ZHANG +5 more
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Data in Brief, 2020 This dataset consists of video files that were created to test the accuracy of background segmentation algorithms contained in the C++ wrapper ‘BGSLibrary’ v3.0.0 developed by Andrews Sobral.
Seng Cheong Loke +3 more
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Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
, 2017 Event sequence, asynchronously generated with random timestamp, is ubiquitous among applications. The precise and arbitrary timestamp can carry important clues about the underlying dynamics, and has lent the event data fundamentally different from the ...
Chu, Stephen M. +4 more
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Modeling the Radio Background from the First Black Holes at Cosmic Dawn: Implications for the 21 cm Absorption Amplitude [PDF]
, 2018 We estimate the 21 cm Radio Background from accretion onto the first intermediate-mass Black Holes between $z\approx 30$ and $z\approx 16$. Combining potentially optimistic, but plausible, scenarios for black hole formation and growth with empirical ...
Chang, T. -C. +5 more
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A Background Foreground Competitive Model for Background Subtraction in Dynamic Background
Procedia Technology, 2016 AbstractBackground subtraction is used to remove the relatively motionless background information from video frames and to detect moving objects. Several methods have been proposed for nonparametric modelling of the background. In this paper a novel method for simultaneous non parametric modelling of background and foreground is proposed, which is ...
Rashid, M.E., Thomas, Vinu
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