Deep neural network concepts for background subtraction: A systematic review and comparative evaluation
Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …
background subtraction in video acquired by static cameras. Indeed, the well-known Self …
An empirical review of deep learning frameworks for change detection: Model design, experimental frameworks, challenges and research needs
Visual change detection, aiming at segmentation of video frames into foreground and
background regions, is one of the elementary tasks in computer vision and video analytics …
background regions, is one of the elementary tasks in computer vision and video analytics …
Graph moving object segmentation
Moving Object Segmentation (MOS) is a fundamental task in computer vision. Due to
undesirable variations in the background scene, MOS becomes very challenging for static …
undesirable variations in the background scene, MOS becomes very challenging for static …
BSUV-Net: A fully-convolutional neural network for background subtraction of unseen videos
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. Recently, a …
applied as a pre-processing step for object tracking, people recognition, etc. Recently, a …
A survey of semi-and weakly supervised semantic segmentation of images
M Zhang, Y Zhou, J Zhao, Y Man, B Liu… - Artificial Intelligence …, 2020 - Springer
Image semantic segmentation is one of the most important tasks in the field of computer
vision, and it has made great progress in many applications. Many fully supervised deep …
vision, and it has made great progress in many applications. Many fully supervised deep …
Background subtraction for moving object detection: explorations of recent developments and challenges
Background subtraction, although being a very well-established field, has required
significant research efforts to tackle unsolved challenges and to accelerate the progress …
significant research efforts to tackle unsolved challenges and to accelerate the progress …
A survey of moving object detection methods: A practical perspective
X Zhao, G Wang, Z He, H Jiang - Neurocomputing, 2022 - Elsevier
Moving object detection is the foundation of research in many computer vision fields. In
recent decades, a number of detection methods have been proposed. Relevant surveys …
recent decades, a number of detection methods have been proposed. Relevant surveys …
Deep learning-based moving object segmentation: Recent progress and research prospects
R Jiang, R Zhu, H Su, Y Li, Y **e, W Zou - Machine Intelligence Research, 2023 - Springer
Moving object segmentation (MOS), aiming at segmenting moving objects from video
frames, is an important and challenging task in computer vision and with various …
frames, is an important and challenging task in computer vision and with various …
The emerging field of graph signal processing for moving object segmentation
Abstract Moving Object Segmentation (MOS) is an important topic in computer vision. MOS
becomes a challenging problem in the presence of dynamic background and moving …
becomes a challenging problem in the presence of dynamic background and moving …
Video foreground extraction using multi-view receptive field and encoder–decoder DCNN for traffic and surveillance applications
The automatic detection of foreground (FG) objects in videos is a demanding area of
computer vision, with essential applications in video-based traffic analysis and surveillance …
computer vision, with essential applications in video-based traffic analysis and surveillance …