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

In this paper, we address the problem of moving object segmentation using background
subtraction. Solving this problem is very important for many applications: visual surveillance …

Foreground object detection in video is a fundamental step for automated video surveillance
system and many computer vision applications. Mostly moving foreground object is detected …

Presently researches in networked surveillance system grow continuously and substantially.
One reason is because of the insecurity incidents such as terrorism acts in Thailand and …

The Background Subtraction Algorithm has been proven to be a very effective technique for
automated video surveillance applications. In statistical approach, background model is …

The background differing has been taken as a very excellent method for dealing with the
tracing target, in the field of automated video surveillance application. This algorithm can …

Event analysis in video sequences is a critical task for many real-life applications. An event
is defined as the occurrence of a behaviour or a combination of behaviours with important …

The research in this thesis is intended to aid caregivers' supervision of toddlers to prevent
accidental injuries, especially injuries due to falls in the home environment. There have …

A method for processing image data includes identifying a background scene in a
background frame of an image. Each of a plurality of pixel locations in the background frame …

In this chapter, we propose a collaborative framework for efficient isolation and tracking of
foreground objects. The algorithm is able to operate in very complex and dynamic …