Results 31 to 40 of about 499,176 (310)

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

Testing dataset for head segmentation accuracy for the algorithms in the ‘BGSLibrary’ v3.0.0 developed by Andrews Sobral

Data in Brief, 2020
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, Bruce A. MacDonald, Matthew Parsons, Burkhard C. Wünsche   +3 more
doaj   +1 more source

Fusing Complementary Operators to Enhance Foreground/Background Segmentation

, 2003
Foreground/background segmentation is an active research area for moving object analysis. We combine two probabilistic approaches one of which estimates foreground/background probabilistic density and the other uses prior knowledge to decompose the ...
Al-Mazeed, Ahmad H., A. H. Al-Mazeed, M. S. Nixon, S. R. Gunn, Nixon, Mark S., Gunn, Steve R.   +5 more
core   +1 more source

Articulated Human Body Parts Detection Based on Cluster Background Subtraction and Foreground Matching [PDF]

, 2013
Detecting people or other articulated objects and localizing their body parts is a challenging computer vision problem as their movement is unpredictable under circumstances of partial and full occlusions.
Mihaylova, Lyudmila, Simon Maskell, Harish Bhaskar, Maskell, S., Lyudmila Mihaylova, Bhaskar, Harish   +5 more
core   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source

Threshold-Based Segmentation Method for Underwater Moving Luminous Targets Combined with Background Modeling

水下无人系统学报
This paper presented an adaptive threshold-based segmentation method combined with background modeling for the visual positioning of underwater moving luminous targets.
Jia WANG, Xiawei GUAN, Hao ZHANG, Shaobo FU, Yu'ang ZHANG, Qinghua SONG   +5 more
doaj   +1 more source

Background Invariant Faster Motion Modeling for Drone Action Recognition

Drones, 2021
Visual data collected from drones has opened a new direction for surveillance applications and has recently attracted considerable attention among computer vision researchers.
Ketan Kotecha, Deepak Garg, Balmukund Mishra, Pratik Narang, Vipul Kumar Mishra   +4 more
doaj   +1 more source

GMM background modeling using divergence-based weight updating

, 2017
Background modeling is a core task of video-based surveillance systems used to facilitate the online analysis of real-world scenes. Nowadays, GMM-based background modeling approaches are widely used, and several versions have been proposed to improve the
Insuasti Ceballos, Hernan David, Castellanos Domínguez, German, Pulgarín Giraldo, Juan Diego, Álvarez Meza, Andrés Marino, Bouwmans, Thierry   +4 more
core   +1 more source

Video foreground detection based on symmetric alpha-stable mixture models. [PDF]

, 2010
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extracting regions of the foreground (moving objects) with the assumptions that the
L Mihaylova, Bhaskar, H., Mihaylova, Lyudmila, Bhaskar, A, Achim, A., Achim, AM, H Bhaskar, Mihaylova, LS, A Achim   +8 more
core   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro, Freda Qi, Karen Colwill, Alina D. Dorogy, Ying Liu, Michelle Science, Anne‐Claude Gingras, James M. Rini, Sumit Gupta, Sarah Alexander, Shelly Bolotin, Tania H. Watts   +11 more
wiley   +1 more source