Recent advances in computer vision technologies have made possible the development of
intelligent monitoring systems for video surveillance and ambient-assisted living. By using …

The applications of compressive sensing (CS) in the field of information security have
captured a great deal of researchers' attention in the past decade. To supply guidance for …

Compressive sensing (CS) is a novel sampling paradigm that samples signals in a much
more efficient way than the established Nyquist sampling theorem. CS has recently gained a …

It is generally recognized that encrypting an original image into meaningless cipher image is
an ideal method to protect image information. However, during transmission, the …

Some pioneering works have investigated embedding cryptographic properties in
compressive sampling (CS) in a way similar to one-time pad symmetric cipher. This paper …

Rapid developments in technology have led to increasing numbers of video surveillance
devices in the home environment. The importance of video privacy protection has spurred …

With the increase of terrorist and criminal activities, closed circuit television (CCTV) is widely
used on many occasions. However, abuse of surveillance video may result in the leakage of …

Falls are the main cause of accidental injuries, and even death among elderly people,
especially those who live alone in their homes. The absence of a reliable fall detection …

In order to obtain high quality and large‐scale labelled data for information security
research, we propose a new approach that combines a generative adversarial network with …

Video surveillance application in wireless multimedia sensor networks (WMSNs) require that
the captured video must be transmitted in a secured manner to the monitoring site. A …