Weighted Schatten $p$-Norm Minimization for Image Denoising and Background Subtraction
, 2015 Low rank matrix approximation (LRMA), which aims to recover the underlying low rank matrix from its degraded observation, has a wide range of applications in computer vision.
Gu, Shuhang +5 more
core +1 more source
Design and validation of a novel dosimetry phantom for motion management audits
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background We present a novel phantom design for conducting end‐to‐end dosimetry audits for respiratory motion management of two anatomical treatment sites. The design enables radiochromic film measurements of the dose administered to the target throughout the respiratory cycle (motion‐included) and the dose delivered to the time‐averaged ...
Alex Burton +5 more
wiley +1 more source
Robust Background Subtraction via the Local Similarity Statistical Descriptor
Applied Sciences, 2017 Background subtraction based on change detection is the first step in many computer vision systems. Many background subtraction methods have been proposed to detect foreground objects through background modeling.
Dongdong Zeng +4 more
doaj +1 more source
Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection
, 2019 In this paper, we propose to combine detections from background subtraction and from a multiclass object detector for multiple object tracking (MOT) in urban traffic scenes. These objects are associated across frames using spatial, colour and class label
Bilodeau, Guillaume-Alexandre +2 more
core +1 more source
Wafer Surface Defect Detection Based on Background Subtraction and Faster R-CNN. [PDF]
Micromachines (Basel), 2023 Zheng J, Zhang T.
europepmc +1 more source
Risk analysis of the Unity 1.5T MR‐Linac adapt‐to‐shape workflow
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background and Purpose The adapt‐to‐shape (ATS) workflow on the Unity MR‐Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with ...
Jiayi Liang +13 more
wiley +1 more source
Dynamic background subtraction method based on spatio‐temporal classification
IET Computer Vision, 2018 The dynamic background will cause extremely negative effects on background subtraction and is difficult to eliminate. This study proposes a dynamic background subtraction method based on a spatio‐temporal classification which mainly contains two key ...
Xiying Li, Guoming Li, Qianyin Jiang
doaj +1 more source
Vision-Based In-Flight Collision Avoidance Control Based on Background Subtraction Using Embedded System. [PDF]
Sensors (Basel), 2023 Park J, Choi AJ.
europepmc +1 more source
Accounting for TLD response to CBCT protocols in external beam radiotherapy dose monitoring
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose LiF thermoluminescent dosimeters (TLDs) are commonly used in radiation therapy to verify the delivered dose. Examples include dose verification for complicated treatment setups or cardiovascular implantable electronic devices (CIEDs). TLDs may be present for both the pre‐treatment imaging kilovoltage (kV) beam and the megavoltage (MV ...
Andrew J. White +5 more
wiley +1 more source
A fully-convolutional neural network for background subtraction of unseen videos [PDF]
, 2019 Background subtraction is a basic task in computer vision and video processing often applied as a pre-processing step for object tracking, people recognition, etc.
Ishwar, Prakash +2 more
core