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 …

Background subtraction, although being a very well-established field, has required
significant research efforts to tackle unsolved challenges and to accelerate the progress …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …