This paper presents a hierarchical scheme with block-based and pixel-based codebooks for
foreground detection. The codebook is mainly used to compress information to achieve a …

The detection of moving objects in videos is very important in many video processing
applications, and background modeling is often an indispensable process to achieve this …

This paper presents a robust foreground detection method capable of adapting to different
motion speeds in scenes. A key contribution of this paper is the background estimation using …

Background modeling has played an important role in detecting the foreground for video
analysis. In this paper, we presented a novel background modeling method for foreground …

An extensive collection of algorithms have been proposed over the years to identify the
foreground from a video scene, but none of them considers the classification history of …

In background subtraction, it is challenging to detect foreground objects in the presence of
dynamic background motions. The paper proposes two new algorithms to this problem by …

The BGSLibrary has been designed to provides an easy-to-use C++ framework and tools to
perform background subtraction. First released in March 2012, currently the library offers 32 …

This paper addresses the problem of background modeling for foreground object detection
in complex environments. A Bayesian framework that incorporates spectral, spatial, and …

Foreground segmentation is an essential task in many image processing applications and a
commonly used approach to obtain foreground objects from the background. Many …

Robust and real-time foreground segmentation is a crucial topic in many computer vision
applications. Background subtraction is a typical approach to segment foreground by …