This study aims to examine, ascertain, and measure the extent of research conducted on
real-time surveillance video analytics (RTSVA) and uncover the patterns, advancements …

We investigate an edge-computing scenario for robot control, where two similar neural
networks are running on one computational node. We test the feasibility of using a single …

Edge computing is being widely used for video analytics. To alleviate the inherent tension
between accuracy and cost, various video analytics pipelines have been proposed to …

With the breakthroughs in Deep Learning, recent years have witnessed a massive surge in
Artificial Intelligence applications and services. Meanwhile, the rapid advances in Mobile …

IoT sensors, especially video cameras, are ubiquitously deployed around the world to
perform a variety of computer vision tasks in several verticals including retail, health-care …

Recent advancements in deep learning (DL) and high-communication bandwidth access
networks such as 5G enable applications that require intelligence and faster computational …