Results 61 to 70 of about 107,062 (139)

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

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, Ming Zhu, Tongxue Zhou, Fang Xu, Hang Yang   +4 more
doaj   +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

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

3D Face Candidate Region Detection Using Background Subtraction

Journal of Computing Research and Innovation, 2018
In this paper, we have explored 3D face candidate region detection using background subtraction. Our focus is to solve the first challenge in face registration, which is to detect and identify face region.
Zulfikri Paidi, Nurzaid Muhd Zain
doaj  

Near-Infrared Blood Vessel Image Segmentation Using Background Subtraction and Improved Mathematical Morphology. [PDF]

Bioengineering (Basel), 2023
Li L, Liu H, Li Q, Tian Z, Li Y, Geng W, Wang S.   +6 more
europepmc   +1 more source

Detection of infrared small target based on background subtraction local contrast measure and Gaussian structural similarity. [PDF]

Heliyon, 2023
Zhu D, Tang J, Fu X, Geng Y, Su J.
europepmc   +1 more source

Refinement of Background-Subtraction Methods Based on Convolutional Neural Network Features for Dynamic Background

Algorithms, 2019
Advancing the background-subtraction method in dynamic scenes is an ongoing timely goal for many researchers. Recently, background subtraction methods have been developed with deep convolutional features, which have improved their performance.
Tianming Yu, Jianhua Yang, Wei Lu
doaj   +1 more source

Local Histogram of Figure/Ground Segmentations for Dynamic Background Subtraction

EURASIP Journal on Advances in Signal Processing, 2010
We propose a novel feature, local histogram of figure/ground segmentations, for robust and efficient background subtraction (BGS) in dynamic scenes (e.g., waving trees, ripples in water, illumination changes, camera jitters, etc.).
Bineng Zhong, Hongxun Yao, Shaohui Liu, Xiaotong Yuan   +3 more
doaj   +1 more source

BACKGROUND SUBTRACTION

International Research Journal of Modernization in Engineering Technology and Science, 2023
openaire   +1 more source