Results 91 to 100 of about 5,613,581 (365)
Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models [PDF]
Although it has been widely discussed in video surveillance, background subtraction is still an open problem in the context of complex scenarios, e.g., dynamic backgrounds, illumination variations, and indistinct foreground objects. To address these challenges, we propose an effective background subtraction method by learning and maintaining an array ...
arxiv +1 more source
Data series subtraction with unknown and unmodeled background noise
LISA Pathfinder (LPF), ESA's precursor mission to a gravitational wave observatory, will measure the degree to which two test-masses can be put into free-fall, aiming to demonstrate a residual relative acceleration with a power spectral density (PSD ...
Armano, Michele+22 more
core +2 more sources
Robust Online Matrix Factorization for Dynamic Background Subtraction [PDF]
We propose an effective online background subtraction method, which can be robustly applied to practical videos that have variations in both foreground and background.
Hongwei Yong+3 more
semanticscholar +1 more source
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair+17 more
wiley +1 more source
FPGA-Based Improved Background Subtraction for Ultra-Low Latency
In recent years, advancements in telecommunication technology have led to the proliferation of high-speed, large-capacity, low-latency communication. The COVID-19 pandemic has also accelerated the adoption of remote work globally, making real-time remote
Yoshiyuki Oshima+5 more
doaj +1 more source
End-to-End Background Subtraction via a Multi-Scale Spatio-Temporal Model
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+4 more
doaj +1 more source
Saliency detection with moving camera via background model completion [PDF]
To detect saliency in video is a fundamental step in many computer vision systems. Saliency is the significant target(s) in the video. The object of interest is further analyzed for high-level applications. The segregation of saliency and the background can be made if they exhibit different visual cues. Therefore, saliency detection is often formulated
arxiv
Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu+11 more
wiley +1 more source
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
doaj
Inhibitor of DNA binding‐1 is a key regulator of cancer cell vasculogenic mimicry
Elevated expression of transcriptional regulator inhibitor of DNA binding 1 (ID1) promoted cancer cell‐mediated vasculogenic mimicry (VM) through regulation of pro‐angiogenic and pro‐cancerous genes (e.g. VE‐cadherin (CDH5), TIE2, MMP9, DKK1). Higher ID1 expression also increased metastases to the lung and the liver.
Emma J. Thompson+11 more
wiley +1 more source