Results 111 to 120 of about 5,613,581 (365)
LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation
Journal 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
Background Subtraction via Fast Robust Matrix Completion [PDF]
arXiv, 2017 Background subtraction is the primary task of the majority of video inspection systems. The most important part of the background subtraction which is common among different algorithms is background modeling. In this regard, our paper addresses the problem of background modeling in a computationally efficient way, which is important for current ...
arxiv
Rejection-Cascade of Gaussians: Real-time adaptive background subtraction framework
, 2019 Background-Foreground classification is a well-studied problem in computer vision. Due to the pixel-wise nature of modeling and processing in the algorithm, it is usually difficult to satisfy real-time constraints. There is a trade-off between the speed (
B Valentine, BR Kiran, J Zuo, T Bouwmans
core +1 more source
Background Subtraction for Automated Multisensor Surveillance: A Comprehensive Review
EURASIP Journal on Advances in Signal Processing, 2010 Background subtraction is a widely used operation in the video surveillance, aimed at separating the expected scene (the background) from the unexpected entities (the foreground).
Marco Cristani +3 more
doaj +2 more sources
FEBS Open Bio, EarlyView.The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley +1 more source
Sistem Informasi Lalu Lintas Berbasis Raspberry Pi PC Board
Jurnal Nasional Teknik Elektro, 2016 Due to increasing routine society in the era of globalization, the growth rate of the road and the vehicle becomes unbalanced so that cause traffic jams. Utilization of mini computers can help in the monitor of traffic density.
Fitria Rahmadina, Zaini
doaj +1 more source
Video Background Subtraction in Complex Environments
Journal of Applied Research and Technology, 2014 AbstractBackground subtraction models based on mixture of Gaussians have been extensively used for detecting objects in motion in a wide variety of computer vision applications. However, background subtraction modeling is still an open problem particularly in video scenes with drastic illumination changes and dynamic backgrounds (complex backgrounds ...
Rogelio Hasimoto-Beltran +1 more
openaire +2 more sources
Background subtraction on depth videos with convolutional neural networks [PDF]
arXiv, 2019 Background subtraction is a significant component of computer vision systems. It is widely used in video surveillance, object tracking, anomaly detection, etc. A new data source for background subtraction appeared as the emergence of low-cost depth sensors like Microsof t Kinect, Asus Xtion PRO, etc.
arxiv
Investigation of background subtraction techniques for high mass dilepton physics
, 2001 The signals in high mass dilepton spectroscopy with nucleus-nucleus collisions at collider energies are superimposed on a generally large combinatorial background.
Abreu +21 more
core +2 more sources
Fast image processing with constraints by solving linear PDEs
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2007 We present a general framework that allows image filtering by minimization of a functional using a linear and positive definite partial differential equation (PDE) while also permitting to control the weight of each pixel individually.
Witali Kusnezow +2 more
doaj +1 more source