Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …

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 …

Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …

Human activity recognition (HAR) is an important research area in computer vision due to its
vast range of applications. Specifically, the past decade has witnessed enormous growth in …

Background Subtraction for Visual Surveillance Page 1 5 Background Subtraction for Visual
Surveillance: A Fuzzy Approach Thierry Bouwmans University of La Rochelle, La Rochelle …

Background modeling is a crucial step in various computer vision applications such as video
surveillance, object tracking, and moving object detection. Classifying image pixels as …

Background subtraction is an important step involved in solving computer vision problems.
This paper proposes a novel background subtraction method with fully residual …

We propose a new algorithm for moving object detection in the presence of challenging
dynamic background conditions. We use a set of fuzzy aggregated multifeature similarity …

With the rapid development of smart cities, pedestrian detection information has expanded
from human faces to human body features such as height due to the needs of urban security …