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 …

This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …

Change detection is one of the most important low-level tasks in video analytics. In 2012, we
introduced the changedetection. net (CDnet) benchmark, a video dataset devoted to the …

Foreground/background segmentation via change detection in video sequences is often
used as a stepping stone in high-level analytics and applications. Despite the wide variety of …

This paper presents a technique for motion detection that incorporates several innovative
mechanisms. For example, our proposed technique stores, for each pixel, a set of values …

Object detection is a fundamental step for automated video analysis in many vision
applications. Object detection in a video is usually performed by object detectors or …

Background subtraction is one of the key techniques for automatic video analysis, especially
in the domain of video surveillance. Although its importance, evaluations of recent …

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 …

Detecting human beings accurately in a visual surveillance system is crucial for diverse
application areas including abnormal event detection, human gait characterization …

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 …