Background subtraction is a widely used approach for detecting moving objects from static
cameras. Many different methods have been proposed over the recent years and both the …

Suspicious human activity recognition from surveillance video is an active research area of
image processing and computer vision. Through the visual surveillance, human activities …

在很多计算机视觉应用中, 一个基础而关键的任务是从视频序列中确定运动目标,
其中对于固定摄像机的监控视频运动目标的检测, 最常用的方法是减背景技术 …

Background subtraction methods are widely exploited for moving object detection in videos
in many applications, such as traffic monitoring, human motion capture, and video …

Detection of moving objects in video streams is the first relevant step of information
extraction in many computer vision applications. Aside from the intrinsic usefulness of being …

Identifying moving objects from a video sequence is a fundamental and critical task in many
computer-vision applications. A common approach is to perform background subtraction …

Identifying moving objects is a critical task for many computer vision applications; it provides
a classification of the pixels into either foreground or background. A common approach used …

Closed circuit television systems (CCTV) are becoming more and more popular and are
being deployed in many offices, housing estates and in most public spaces. Monitoring …

The construction industry is still considered among the riskiest industries in the world
because workers are continuously exposed to injury from falls, slips, or trips or being struck …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …