Results 11 to 20 of about 21,062 (261)

Co-occurrence Background Model with Superpixels for Robust Background Initialization

open access: yesCoRR, 2020
Background initialization is an important step in many high-level applications of video processing,ranging from video surveillance to video inpainting.However,this process is often affected by practical challenges such as illumination changes,background motion,camera jitter and intermittent movement,etc.In this paper,we develop a co-occurrence ...
Wenjun Zhou   +4 more
openaire   +2 more sources

Evaluation of the Four-Dimensional Ensemble-Variational Hybrid Data Assimilation with Self-Consistent Regional Background Error Covariance for Improved Hurricane Intensity Forecasts

open access: yesAtmosphere, 2020
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
doaj   +1 more source

LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation

open access: yesJournal of Imaging, 2018
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
doaj   +1 more source

Deep learning‐mediated prediction of concealed accessory pathway based on sinus rhythmic electrocardiograms

open access: yesAnnals of Noninvasive Electrocardiology, 2023
Background Concealed accessory pathway (AP) may cause atrial ventricular reentrant tachycardia impacting the health of patients. However, it is asymptomatic and undetectable during sinus rhythm.
Lei Wang   +6 more
doaj   +1 more source

Siamese Network Using Adaptive Background Superposition Initialization for Real-Time Object Tracking

open access: yesIEEE Access, 2019
Object tracking has become widespread in many fields, such as autonomous vehicles, video surveillance and robotics. However, it is far from the requirements for real-world applications.
Junan Zhu, Tao Chen, Jingtai Cao
doaj   +1 more source

Multisenzorsko izdvajanje i ažuriranje slike pozadine u detekciji pokretnih objekata / Multisensor background extraction and updating for moving target detection

open access: yesVojnotehnički Glasnik, 2010
U radu je predložen postupak multisenzorskog izdvajanja i ažuriranja slike pozadine koji se koristi za video nadzor i detekciju pokretnih objekata. Izdvajanje slike pozadine zasnovano je na detekciji promena na slici i iterativnom postupku ažuriranja ...
Boban P. Bondžulić   +1 more
doaj   +1 more source

CICE-LETKF Ensemble Analysis System with Application to Arctic Sea Ice Initialization

open access: yesJournal of Marine Science and Engineering, 2021
To study the effectiveness of methods to reduce errors for Arctic Sea ice initialization due to underestimation of background error covariance, an advanced ensemble analysis system has been developed.
Xiying Liu, Zicheng Sha, Chenchen Lu
doaj   +1 more source

Patch-Based Background Initialization in Heavily Cluttered Video [PDF]

open access: yesIEEE Transactions on Image Processing, 2010
In this paper, we propose a patch-based technique for robust background initialization that exploits both spatial and temporal consistency of the static background. The proposed technique is able to cope with heavy clutter, i.e, foreground objects that stand still for a considerable portion of time. First, the sequence is subdivided in patches that are
A. Colombari, FUSIELLO, Andrea
openaire   +4 more sources

A robust background initialization algorithm with superpixel motion detection [PDF]

open access: yesSignal Processing: Image Communication, 2019
submitted to Elsevier Signal Processing: Image ...
Zhe Xu 0008, Biao Min, Ray C. C. Cheung
openaire   +2 more sources

Ensemble Spread Behavior in Coupled Climate Models: Insights From the Energy Exascale Earth System Model Version 1 Large Ensemble

open access: yesJournal of Advances in Modeling Earth Systems, 2023
Assessing uncertainty in future climate projections requires understanding both internal climate variability and external forcing. For this reason, single‐model initial condition large ensembles (SMILEs) run with Earth System Models (ESMs) have recently ...
Samantha Stevenson   +7 more
doaj   +1 more source

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