Foreground/background segmentation via change detection in video sequences is often
used as a stepping stone in high-level analytics and applications. Despite the wide variety of …

Background subtraction is often used as the first step in video analysis and smart
surveillance applications. However, the issue of inconsistent performance across different …

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

In this paper a pixel'based Weightless Neural Network (WNN) method to face the problem of
change detection in the field of view of a camera is proposed. The main features of the …

Change detection is one of the most commonly encountered low-level tasks in computer
vision and video processing. A plethora of algorithms have been developed to date, yet no …

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 …

Salient motion detection is vital for security surveillance, pattern and motion recognition,
traffic control, human–computer interaction, etc. Although such a subject has been very well …

Visual surveillance aims to reliably extract foreground objects. Traditional algorithms usually
use a background model image which is generated through the probabilistic modeling of …

Weightless neural networks (WNNs) have been successfully used as learners and detectors
of background regions in video processing, as they feature fast learning algorithm, noise …

In the area of change detection, there were a rare number of optimization methods. Most of
the optimization methods that are used by change detection are morphological …