Our eyes, as well as all of our understanding of the abstract ideas and one-of-a-kind
experiences gleaned from the various contacts we have had with the outside world, are all …

Edge computing efficiently extends the realm of information technology beyond the
boundary defined by cloud computing paradigm. Performing computation near the source …

The threat of terrorism has spread all over the world, and the situation has become grave.
Suspicious object detection in the Internet of Things (IoT) is an effective way to respond to …

This paper proposes an intelligence surveillance system in indoor environments, which
support the functions of people detection, people tracking, and behavior analysis. Strong …

The interpretation and understanding of images using deep learning algorithms in
monitoring systems is an important area of research in computer vision. In this paper, we …

In recent years, terrorist attacks have been spreading worldwide and become a public
hazard to human society. The suspicious object detection system is an effective way to …

Abstract Wide Area Aerial Surveillance (WAAS) produces very large images at 1-2 fps or
more. This data needs to be processed in real time to produce semantically meaningful …

Thing discovery and tracking using deep learning has emerged as a cutting-edge
technology with applications spanning autonomous vehicles, surveillance systems, robotics …

Human detection and tracking is a key and fundamental problem of smart devices and
intelligence applications. Currently, video surveillance and infrared image surveillance are …

Monitoring for security and well-being in highly populated areas is a critical issue for city
administrators, policy makers and urban planners. As an essential part of many dynamic and …