The never-blinking surveillance cameras are rapidly becoming a part of daily life in both public and private places. And they may soon get a lot smarter. Researchers and security companies are developing cameras that can interpret what they see. They say that 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.

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