Results 61 to 70 of about 10,907 (256)

Compressive Sensing for Background Subtraction [PDF]

, 2008
Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reconstructed from a small set of random projections, provided that the signal is sparse in some basis, e.g., wavelets.
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F. Duarte, Dikpal Reddy, Richard G. Baraniuk, Rama Chellappa   +5 more
openaire   +1 more source

Background Subtraction Based on Three-Dimensional Discrete Wavelet Transform

Sensors, 2016
Background subtraction without a separate training phase has become a critical task, because a sufficiently long and clean training sequence is usually unavailable, and people generally thirst for immediate detection results from the first frame of a ...
Guang Han, Jinkuan Wang, Xi Cai
doaj   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

End-to-End Background Subtraction via a Multi-Scale Spatio-Temporal Model

IEEE Access, 2019
Background subtraction is an important task in computer vision. Traditional approaches usually utilize low-level visual features like color, texture, or edge to build background models.
Yizhong Yang, Tao Zhang, Jinzhao Hu, Dong Xu, Guangjun Xie   +4 more
doaj   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

Molecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu, Xixi Lin, Emil Mladenov, Veronika Mladenova, Jürgen Thomale, Ali Sak, Yao Wang, Yunxuan Deng, Eleni Gkika, Martin Stuschke, George Iliakis   +10 more
wiley   +1 more source

Tracking-Based Non-Parametric Background-Foreground Classification in a Chromaticity-Gradient Space

, 2010
This work presents a novel background-foreground classification technique based on adaptive non-parametric kernel estimation in a color-gradient space of components.
Narciso Garcia, Carlos Cuevas, García Santos, Narciso, Cuevas Rodríguez, Carlos   +3 more
core   +1 more source

DNA methylation and expression of MAPRE3 affect overall survival of early‐stage non‐small cell lung cancer patients

Molecular Oncology, EarlyView.
Both cg12821679MAPRE3 methylation and MAPRE3 expression are significantly associated with overall survival (OS) of non‐small cell lung cancer. Meanwhile, MAPRE3 expression significantly modified the effect of smoking cessation on OS. Smoking cessation benefits OS merely for patients with high MAPRE3 expression.
Chao Chen, Jiancheng Cheng, Ruili Hou, Xiaoyuan Zheng, Li Su, Maria Moksnes Bjaanæs, Anna Karlsson, Maria Planck, Johan Staaf, Åslaug Helland, Manel Esteller, David C. Christiani, Feng Chen, Xiaofei Cao, Ruyang Zhang   +14 more
wiley   +1 more source

Perception-inspired background subtraction in complex scenes based on spatiotemporal features

, 2016
Background subtraction (BGS) is a fundamental preprocessing step in most video-based applications. Most BGS methods fail to handle dynamic unconstrained scenarios accurately. This is because of overreliance on statistical model.
Shi, Liu, Liu Shi, Jiahang Liu, Liu, Jiahang   +3 more
core   +1 more source

Background subtraction for aerial surveillance conditions [PDF]

2014 14th International Conference on Innovations for Community Services (I4CS), 2014
The first step in a surveillance system is to create a representation of the environment. Background subtraction is widely used algorithm to define a part of an image that most time remains stationary in a video. In surveillance tasks, this model helps to recognize those outlier objects in an area under monitoring.
Sanchez-Fernandez, Francisco, Brunet, Philippe, Senouci, Sidi-Mohammed   +2 more
openaire   +1 more source

Illumination-Invariant Background Subtraction: Comparative Review, Models, and Prospects

IEEE Access, 2017
Background subtraction is a key prerequisite for a wide range of image processing applications due to its pervasiveness in various contexts. In particular, video surveillance highly requires the reliable background subtraction for further operations ...
Wonjun Kim, Chanho Jung
doaj   +1 more source