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 …

Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

摘要基于视觉的目标检测与跟踪是图像处理, 计算机视觉, 模式识别等众多学科的交叉研究课题,
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …

Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …

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 …

Background subtraction, although being a very well-established field, has required
significant research efforts to tackle unsolved challenges and to accelerate the progress …

In complex scenes, dynamic background, illumination variation, and shadow are important
factors, which make conventional moving object detection algorithms suffer from poor …

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

Given a set of images of a scene taken at different times, the availability of an initial
background model that describes the scene without foreground objects is the prerequisite …

Moving object detection is the task of identifying the physical movement of an object in a
given region or area. Over last few years, moving object detection has received much of …