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 (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 …

Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only
15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of …

During about 30 years, a lot of research teams have worked on the big challenge of
detection of moving objects in various challenging environments. First applications concern …

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 …

This book provides a complete overview of the concepts, algorithms, and applications
related to background modeling and foreground detection. It presents the top methods and …

Fall event, as one of the greatest risks to the elderly, its detection has been a hot research
issue in the solitary scene in recent years. Nevertheless, most current researches are …

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

We propose a background subtraction algorithm using hierarchical superpixel
segmentation, spanning trees and optical flow. First, we generate superpixel segmentation …

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 …