http://ibtimes.com/articles/20070226/surveillance-cameras.htm

Surveillance Cameras Get Smarter
By Stephen Manning

The next time you walk by a shop window, take a glance at your
reflection. How much do you swing your arms? Is the weight of your bag
causing you to hunch over? Do you still have a bit of that 1970s disco
strut left?

Look around - You might not be the only one watching. The
never-blinking surveillance cameras, rapidly becoming a part of daily
life in public and even private places, may be sizing you up as well.
And they may soon get a lot smarter.

Researchers and security companies are developing cameras that not
only watch the world but also interpret what they see. Soon, some
cameras may be able to find unattended bags at airports, guess your
height or analyze the way you walk to see if you are hiding something.

Most of the cameras widely used today are used as forensic tools to
identify crooks after-the-fact. (Think grainy video on local TV news
of convenience store robberies gone wrong.) But the latest breed,
known as "intelligent video," could transform cameras from passive
observers to eyes with brains, able to detect suspicious behavior and
potentially prevent crime before it occurs.

Surveillance cameras are common in many cities, monitoring tough
street corners to deter crime, watching over sensitive government
buildings and even catching speeders. Cameras are on public buses and
in train stations, building lobbies, schools and stores. Most feed
video to central control rooms, where they are monitored by security
staff.

The innovations could mean fewer people would be needed to watch what
they record, and make it easier to install more in public places and
private homes.

"Law enforcement people in this country are realizing they can use
video surveillance to be in a lot of places at one time," said Roy
Bordes, who runs an Orlando, Fla.-based security consulting company.
He also is a council vice president with ASIS International, a
Washington-based organization for security officials.

The advancements have already been put to work. For example, cameras
in Chicago and Washington can detect gunshots and alert police.
Baltimore installed cameras that can play a recorded message and snap
pictures of graffiti sprayers or illegal dumpers.

In the commercial market, the gaming industry uses camera systems that
can detect facial features, according to Bordes. Casinos use their
vast banks of security cameras to hunt cheating gamblers who have been
flagged before.

In London, one of the largest users of surveillance, cameras provided
key photos of the men who bombed the underground system in July 2005
and four more who failed in a second attempt just days later. But the
cameras were only able to help with the investigation, not prevent the
attacks.

Companies that make the latest cameras say the systems, if used
broadly, could make video surveillance much more powerful. Cameras
could monitor airports and ports, help secure homes and watch over
vast borders to catch people crossing illegally.

Intelligent surveillance uses computer algorithms to interpret what a
camera records. The system can be programmed to look for particular
things, like an unattended bag or people walking somewhere they don't
belong.

"If you think of the camera as your eye, we are using computer
programs as your brain," said Patty Gillespie, branch chief for image
processing at the Army Research Laboratory in Adelphi, Md. Today, the
military funds much of the smart-surveillance research.

At the University of Maryland, engineering professor Rama Chellappa
and a team of graduate students have worked on systems that can
identify a person's unique gait or analyze the way someone walks to
determine if they are a threat.

A camera trained to look for people on a watch list, for example,
could combine their unique walk with facial-recognition tools to make
an identification. A person carrying a heavy load under a jacket would
walk differently than someone unencumbered - which could help identify
a person hiding a weapon. The system could even estimate someone's
height.

With two cameras and a laptop computer set up in a conference room,
Chellappa and a team of graduate students recently demonstrated how
intelligent surveillance works.

A student walked into the middle of the room, dropped a laptop case,
then walked away. On the laptop screen, a green box popped up around
him as he moved into view, then a second focused on the case when it
was dropped. After a few seconds, the box around the case went red,
signaling an alert.

In another video, a car pulled into a parking lot and the driver got
out, a box springing up around him. It moved with the driver as he
went from car to car, looking in the windows instead of heading into
the building.

In both cases, the camera knew what was normal - the layout of the
room with the suspicious bag and the location of the office door and
parking spots in the parking lot. Alerts were triggered when the
unknown bag was added and when the driver didn't go directly into the
building after parking his car.

Similar technology is currently in use by Marines in Iraq and by the
subway system in Barcelona, according to ObjectVideo, a Reston, Va.,
firm that makes surveillance software.

ObjectVideo uses a "tripwire system" that allows users to set up
virtual perimeters that are monitored by the cameras. If someone
crosses that perimeter, the system picks it up, sends out an alert,
and security staff can determine if there is a threat.

Company spokesman Edward Troha predicts the technology, currently
designed primarily to protect borders, ports and other infrastructure,
could be adapted to help prevent retail theft or guard private homes.

The Jacksonville Port Authority uses ObjectVideo software as part of
its security measures to watch the perimeter of the Florida port that
handles 8.7 million tons of cargo and thousands of cruise ship
passengers each year. The surveillance system sends real-time video
from anywhere at the port of possible intruders to patrol cars.

Still, industry officials say the technology needs to improve before
it can be widely used. There are liability issues, such as if someone
is wrongly tagged as a threat at an airport and misses a flight, said
Bordes. Troha warns humans are still essential to intelligent video,
to tell, for example, if a person in a restricted area is a danger or
just lost.

And the cameras can only see so much - they can't stop some threats,
like a bomber with explosives in a backpack. They can't see what you
are wearing under your jacket - yet.

"That is an eventual goal, but we're not there yet," said Chellappa.

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