According to the rapid spread of multimedia data and online observations by users, the
importance of researching on machine vision also, analyzing and automatic understanding …

Detection of moving objects in videos is a crucial step toward successful surveillance and
monitoring applications. A key component for such tasks is called background subtraction …

Detection of moving objects is often the first stage in many computer vision applications
through the use of static or moving cameras. Subsequently, the separation process between …

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 …

Fundamental to advance video processing such as object tracking, gait recognition, and
video indexing is the issue of robust background modeling. Regarding these applications …

Recent advancements in machine learning, particularly deep learning, have driven the
development of next-generation of smart and autonomous applications, especially those that …

Automated and intelligent video surveillance systems play an important role in the modern
world. Since the number of various video streams that must be analyzed concurrently grows …

Hardware implementation of the Gaussian Mixture Model foreground object segmentation
algorithm working with ultra-high resolutio Page 1 THE INSTITUTE OF ELECTRICAL AND …

This letter quantitatively studies the benefits of inter-warp divergence aware execution on
GPUs. To that end, the letter first proposes a novel approach to quantify the inter-warp …

GPUs have appeared as very efficient many-core platform to execute applications with
massive thread-level parallelism. GPUs achieve high throughput by running many threads …