Results 21 to 30 of about 429,050 (291)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014 This paper reviews well-known classic algorithms and more recent experimental approaches for distinguishing the weak signal of a target (either known or anomalous) from the cluttered background of a hyperspectral image.
Stefania Matteoli +2 more
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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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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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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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Background Invariant Faster Motion Modeling for Drone Action Recognition
Drones, 2021 Visual data collected from drones has opened a new direction for surveillance applications and has recently attracted considerable attention among computer vision researchers.
Ketan Kotecha +4 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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水下无人系统学报This paper presented an adaptive threshold-based segmentation method combined with background modeling for the visual positioning of underwater moving luminous targets.
Jia WANG +5 more
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Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source