A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos
A Sobral, A Vacavant - Computer Vision and Image Understanding, 2014 - Elsevier
Background subtraction (BS) is a crucial step in many computer vision systems, as it is first
applied to detect moving objects within a video stream. Many algorithms have been …
applied to detect moving objects within a video stream. Many algorithms have been …
Background subtraction for moving object detection: explorations of recent developments and challenges
R Kalsotra, S Arora - The Visual Computer, 2022 - Springer
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 …
[PDF][PDF] BGSLibrary: An opencv c++ background subtraction library
A Sobral - IX Workshop de Visao Computacional, 2013 - academia.edu
The BGSLibrary provides a free easy-to-use C++ open source framework to perform
background subtraction (BGS). Currently the library provides 29 BGS algorithms. In this work …
background subtraction (BGS). Currently the library provides 29 BGS algorithms. In this work …
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 …
Evaluation of background subtraction algorithms with post-processing
Processing a video stream to segment foreground objects from the background is a critical
first step in many computer vision applications. Background subtraction (BGS) is a …
first step in many computer vision applications. Background subtraction (BGS) is a …
Object detection in a maritime environment: Performance evaluation of background subtraction methods
This paper provides a benchmark of the performance of 23 classical and state-of-the-art
background subtraction (BS) algorithms on visible range and near infrared range videos in …
background subtraction (BS) algorithms on visible range and near infrared range videos in …
Comparative study of motion detection methods for video surveillance systems
K Sehairi, F Chouireb, J Meunier - Journal of Electronic …, 2017 - spiedigitallibrary.org
The objective of this study is to compare several change detection methods for a monostatic
camera and identify the best method for different complex environments and backgrounds in …
camera and identify the best method for different complex environments and backgrounds in …
A comprehensive survey of video datasets for background subtraction
R Kalsotra, S Arora - IEEE Access, 2019 - ieeexplore.ieee.org
Background subtraction is an effective method of choice when it comes to detection of
moving objects in videos and has been recognized as a breakthrough for the wide range of …
moving objects in videos and has been recognized as a breakthrough for the wide range of …
Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance
S Ammar, T Bouwmans, N Zaghden… - IET Image …, 2020 - Wiley Online Library
In this study, the authors present a new approach to segment and classify moving objects in
video sequences by combining an unsupervised anomaly discovery framework called …
video sequences by combining an unsupervised anomaly discovery framework called …
GPU implementation of extended gaussian mixture model for background subtraction
Although trivial background subtraction (BGS) algorithms (eg frame differencing, running
average...) can perform quite fast, they are not robust enough to be used in various computer …
average...) can perform quite fast, they are not robust enough to be used in various computer …