Mission-critical embedded systems simultaneously run multiple graphics-processing-unit
(GPU) computing tasks with different criticality and timeliness requirements. Considerable …

Software architecture has become essential in the struggle to manage today's increasingly
large and complex systems. Software architecture views are created to capture important …

Background subtraction is an essential first stage in many vision applications differentiating
foreground pixels from the background scene, with Mixture of Gaussians (MoG) being a …

Background modeling techniques for embedded computer vision applications must balance
accuracy, speed, and power. Basic background modeling techniques run quickly, but their …

Real-time response is a challenging issue for video object detection, especially when the
number of cameras is large and correspondingly the video data are big. The existing …

Mission-critical embedded systems are becoming heavily dependent on graphics
processing unit (GPU) computing. In general, such systems simultaneously run multiple …

Identifying objects of interest in a video sequence is a fundamental and essential part in
many vision systems. A common method to achieve that goal is to perform background …

Video surveillance system as one of the most important areas in computer vision needs
background subtraction in their initial process. Recently there is no method that robust …

The objective of researchers and developers has always been to attain superior
performance for their computing applications. In this regard, the use of Graphic Processing …

Object detection systems which operate on large data streams require an efficient scaling
with available computation power. We analyze how the use of tile-images can increase the …