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Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose To evaluate the impact of various noise reduction algorithms and template matching parameters on the accuracy of markerless tumor tracking (MTT) using dual‐energy (DE) imaging. Methods A Varian TrueBeam linear accelerator was used to acquire a series of alternating 60 and 120 kVp images (over a 180° arc) using fast kV switching, on ...
Mandeep Kaur +9 more
wiley +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 +2 more
openaire +4 more sources
Practical automatic background substitution for live video
Computational Visual Media, 2017 In this paper we present a novel automatic background substitution approach for live video. The objective of background substitution is to extract the foreground from the input video and then combine it with a new background.
Haozhi Huang +4 more
doaj +1 more source
Analytics of Deep Neural Network-Based Background Subtraction
Journal of Imaging, 2018 Deep neural network-based (DNN-based) background subtraction has demonstrated excellent performance for moving object detection. The DNN-based background subtraction automatically learns the background features from training images and outperforms ...
Tsubasa Minematsu +3 more
doaj +1 more source
Modeling Dynamic Background based on Linear Equation
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2019 Detection moving car in front view is difficult operation because of the dynamic background due to the movement of moving car and the complex environment that surround the car, to solve that, this paper proposed new method based on linear equation ...
Abdul Monem S. Rahma, Nabaa Basil Abd
doaj +1 more source
Background Subtraction via Generalized Fused Lasso Foreground Modeling [PDF]
, 2015 Background Subtraction (BS) is one of the key steps in video analysis. Many background models have been proposed and achieved promising performance on public data sets. However, due to challenges such as illumination change, dynamic background etc.
Gao, Wen +3 more
core +1 more source
Background Subtraction Using Dominant Directional Pattern
IEEE Access, 2018 Background subtraction technique is commonly used in foreground segmentation problem. Most of the existing color or intensity feature-based background subtraction methods suffer in non-stationary environments, such as presence of illumination variations.
Kaushik Roy +4 more
doaj +1 more source
BSUV-Net: a fully-convolutional neural network for background subtraction of unseen videos [PDF]
, 2020 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 +2 more sources
Locally Statistical Dual-Mode Background Subtraction Approach
IEEE Access, 2019 Due to the variety of background model in the real world, detecting changes in a video cannot be addressed exhaustively by a simple background subtraction method, especially with several motion detection challenges, such as dynamic background, camera ...
Thien Huynh-The +3 more
doaj +1 more source
Background subtraction: separating the modeling and the inference [PDF]
Machine Vision and Applications, 2013 19 pages, 6 figures, Machine Vision and Applications ...
Erik Learned-Miller +2 more
openaire +3 more sources