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 …

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 …

Automatic video analysis from urban surveillance cameras is a fast-emerging field based on
computer vision techniques. We present here a comprehensive review of the state-of-the-art …

Mixture of Gaussians is a widely used approach for background modeling to detect moving
objects from static cameras. Numerous improvements of the original method developed by …

Background modeling is currently used to detect moving objects in video acquired from
static cameras. Numerous statistical methods have been developed over the recent years …

We propose an effective online background subtraction method, which can be robustly
applied to practical videos that have variations in both foreground and background. Different …

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 …

Within the field of computer vision, change detection algorithms aim at automatically
detecting significant changes occurring in a scene by analyzing the sequence of frames in a …

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

Vision‐based vehicle detection plays an important role in intelligent transportation systems.
With the fast development of deep convolutional neural networks (CNNs), vision‐based …