The current state of the art and
direction of research in computer vision aimed at automating the analysis of
CCTV images is presented. This includes low level identification of objects
within the field of view of cameras, following those objects over time and
between cameras, and the interpretation of those objects’ appearance and
movements with respect to models of behavior.
Wherrett, a tutor at Tavcom Training, said Video
Content Analysis (VCA) has been used for many years but can be expensive due to
configuring costs and high false alarm rates as well as inaccuracies caused
when images captured are of poor quality. With the number
of surveillance cameras rising continually and over 566PB of video being stored
globally every dayIt’s about helping them to be more efficient,
he added on day two of the security show in the Future of Security Theater sponsored by Tavcom Training.
Video analytics can also be used in fire safety to detect smoke and fire
where more conventional detectors cannot be used or where the speed of detection
is paramount in places such as tunnels or hangars. Further into the
future, the investment in VCA will also enable better monitoring of people who
are in assisted living so that they can maintain their independence while
guaranteeing their safety.
