In vitro human intestinal microbiota biotransformation of nobiletin using LC-MS analysis and background subtraction strategy.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of separation science"
DOI: 10.1002/jssc.202001150
Abstract: In this study, the in vitro biotransformation of nobiletin by human intestinal microbiota, which is a bioactive polymethoxyflavone widely presented in Citrus plants, has been investigated via utilizing an anaerobic incubation protocol. The incubation samples… read more here.
Keywords: biotransformation nobiletin; intestinal microbiota; subtraction strategy; background subtraction ... See more keywords
Recommendations for evaluating the performance of background subtraction algorithms for surveillance systems
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09838-x
Abstract: Background subtraction is a prerequisite for a wide range of applications, including video surveillance systems. A significant number of algorithms are often developed and published in different publication mediums in the area, such as workshops,… read more here.
Keywords: surveillance systems; performance; background; background subtraction ... See more keywords
Microfluidically Partitioned Dual Channels for Accurate Background Subtraction in Cellular Binding Studies by Surface Plasmon Resonance Microscopy.
Sign Up to like & getrecommendations! Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.2c04324
Abstract: Unlike conventional surface plasmon resonance (SPR) using an antifouling film to anchor biomolecules and a reference channel for background subtraction, SPR microscopy for single-cell analysis uses a protein- or polypeptide-modified gold substrate to immobilize cells… read more here.
Keywords: surface plasmon; background subtraction; microscopy; plasmon resonance ... See more keywords
A Fully Convolutional Encoder–Decoder Spatial–Temporal Network for Real-Time Background Subtraction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925913
Abstract: Background subtraction is described as the task of distinguishing pixels into moving objects and the background in a frame. In this paper, we propose a fully convolutional encoder–decoder spatial–temporal network (FCESNet) to achieve real-time background… read more here.
Keywords: real time; spatial temporal; background subtraction; time background ... See more keywords
Selective Subtraction for Handheld Cameras
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2973655
Abstract: Background subtraction techniques model the background of the scene using the stationarity property and classify the scene into two classes namely foreground and background. In doing so, most moving objects become foreground indiscriminately, except in… read more here.
Keywords: moving objects; selective subtraction; background subtraction; scene ... See more keywords
A Novel Tensor RPCA Based Background Subtraction Method for Outdoor Imaging with a Low Cost Portable Radar
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3180154
Abstract: Measurements acquired by low cost, low weighted, portable ultra-wide-band (UWB) radar systems are highly affected by measurement noise and clutter compared to the anechoic chamber vector network analyzer (VNA) measurements. Efficient background subtraction is vital… read more here.
Keywords: tensor; rpca; background subtraction; radar ... See more keywords
WeSamBE: A Weight-Sample-Based Method for Background Subtraction
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2017.2711659
Abstract: Background subtraction techniques are often treated as fundamental and significant ways to analyze and understand video content. In this paper, we propose a weight-sample-based method for foreground detection. This method allows us to use a… read more here.
Keywords: sample based; method; weight sample; based method ... See more keywords
STPNet: A Spatial-Temporal Propagation Network for Background Subtraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3088130
Abstract: In background subtraction tasks, spatial and temporal contexts are beneficial in detecting moving objects. The methods based on Deep Neural Networks in this task has explored different topologies, which are composed of the conventional operations… read more here.
Keywords: temporal propagation; network; spatial temporal; background subtraction ... See more keywords
Universal Multimode Background Subtraction
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2695882
Abstract: In this paper, we present a complete change detection system named multimode background subtraction. The universal nature of system allows it to robustly handle multitude of challenges associated with video change detection, such as illumination… read more here.
Keywords: multimode background; background; system; background subtraction ... See more keywords
Meta-Knowledge Learning and Domain Adaptation for Unseen Background Subtraction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3122102
Abstract: Background subtraction is a classic video processing task pervading in numerous visual applications such as video surveillance and traffic monitoring. Given the diversity and variability of real application scenes, an ideal background subtraction model should… read more here.
Keywords: domain adaptation; meta knowledge; subtraction; background subtraction ... See more keywords
Line Constrained Estimation With Applications to Target Tracking: Exploiting Sparsity and Low-Rank
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2018.2876305
Abstract: Trajectory estimation of moving targets is examined; in particular, quasi-linear trajectories are considered. Background subtraction methods, exploiting low-rank backgrounds, and sparse features of interest are extended to incorporate linear constraints. The line constraint is enforced… read more here.
Keywords: estimation; line; background subtraction; low rank ... See more keywords