Singular Spectrum Analysis for Background Initialization with Spatio-Temporal RGB Color Channel Data [PDF]
In video processing, background initialization aims to obtain a scene without foreground objects. Recently, the background initialization problem has attracted the attention of researchers because of its real-world applications, such as video ...
Huy D. Le +3 more
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A Low-Parameter Adaptive Framework Based on Gaussian Mixture Modeling for Detecting Weak Astrocytic Calcium Signals in Two-Photon Imaging [PDF]
Two-photon microscopy enables in vivo imaging of astrocytic Ca2+ activity, yet detecting weak, transient, and background-coupled signals remains challenging due to low signal-to-noise ratios and heterogeneous noise.
Jiameng Xu +5 more
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Fast and Accurate Background Reconstruction Using Background Bootstrapping
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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Assessing effectiveness of many-objective evolutionary algorithms for selection of tag SNPs.
BackgroundStudies on genome-wide associations help to determine the cause of many genetic diseases. Genome-wide associations typically focus on associations between single-nucleotide polymorphisms (SNPs).
Rashad Moqa, Irfan Younas, Maryam Bashir
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Improved Data Association of Hypothesis-Based Trackers Using Fast and Robust Object Initialization
The tracking of Vulnerable Road Users (VRU) is one of the vital tasks of autonomous cars. This includes estimating the positions and velocities of VRUs surrounding a car.
Marzieh Dolatabadi +2 more
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The NR-EGA for the EVRP Problem with the Electric Energy Consumption Model
Nowadays, in researches on electric vehicle routing problems, in order to improve the delivery efficiency and reduce the routing cost, many important elements are broad discussed such as the customer time window, the routing algorithm, the electric ...
Yanfei Zhu, Chunhui Li, Kwang Y. Lee
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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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A new iterative initialization of EM algorithm for Gaussian mixture models.
BackgroundThe expectation maximization (EM) algorithm is a common tool for estimating the parameters of Gaussian mixture models (GMM). However, it is highly sensitive to initial value and easily gets trapped in a local optimum.MethodTo address these ...
Jie You, Zhaoxuan Li, Junli Du
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The feasibility of a hurricane initialization framework based on the Gridpoint Statistical Interpolation (GSI)-based four-dimensional ensemble-variational (GSI-4DEnVar) hybrid data assimilation system for the Hurricane Weather Research and Forecasting ...
Shixuan Zhang, Zhaoxia Pu
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LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation
Given a video sequence acquired from a fixed camera, the stationary background generation problem consists of generating a unique image estimating the stationary background of the sequence.
Benjamin Laugraud +2 more
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