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 …

Design for Embedded Image Processing on FPGAs Bridge the gap between software and
hardware with this foundational design reference Field-programmable gate arrays (FPGAs) …

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 …

The objective of this paper is to carry out a detailed analysis of the most popular connected
components labeling (CCL) algorithms for binary images. This study investigates their …

Background subtraction consists of segmenting objects in movement in a video captured by
a static camera. This is typically performed using color information, but it leads to wrong …

This paper demonstrates the use of a single-chip FPGA for the segmentation of moving
objects in a video sequence. The system maintains highly accurate background models, and …

The processing of a high-definition video stream in real-time is a challenging task for
embedded systems. However, modern FPGA devices have both a high operating frequency …

Background subtraction is considered the first processing stage in video surveillance
systems, and consists of determining objects in movement in a scene captured by a static …

Automated video surveillance applications require accurate separation of foreground and
background image content. Cost sensitive embedded platforms place realtime performance …

FPGA devices are a perfect platform for implementing image processing algorithms. In the
article, an advanced video system is presented, which is able to detect moving objects in …