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 …

How to achieve competitive accuracy and less computation time simultaneously for
background estimation is still an intractable task. In this paper, an effective background …

Small aerial object detection plays an important role in numerous computer vision tasks,
including remote sensing, early warning systems, and visual tracking. Despite existing …

Although a wide variety of background subtraction methods has been proposed in recent
years, none has been able to fully address multi-scale moving objects and dynamic …

Scene background initialization allows the recovery of a clear image without foreground
objects from a video sequence, which is generally the first step in many computer vision and …

Moving object detection is still a challenging task in complex scenes. The existing methods
based on deep learning mainly use U-Nets and have achieved amazing results. However …

Background subtraction is a fundamental problem of computer vision, which is usually the
first step of video analytics to extract the interesting region. Most previously available region …

Foreground detection is one of the active research topics in computer vision and a
precondition for intelligent video analytics. Background subtraction is often considered as a …

Modern security cameras are capable of capturing high-resolution HD or 4K videos and
support embedded analytics capable of automatically tracking objects such as people and …