Date: Thu, 22 Feb 2001 12:59:50 -0500 From: freematt@coil.com (Matthew Gaylor) Subject: MIT's AI Lab's Visual Surveillance and Monitoring Project To: freematt@coil.com (Matthew Gaylor)
Visual Surveillance and Monitoring Project http://www.ai.mit.edu/projects/vsam/
The Forest of Sensors project is the MIT AI Lab's video surveillance and monitoring (VSAM) testbed. While there are many VSAM projects (see Related Links), our project is set apart by its three primary goals- persistence, full coverage, and automated configuration and processing.
Persistence- Our system can run outdoors 24 hours a day 7, days a week collecting data the entire time with minimal interruptions. Our system has been running since September 1997 has processed on the order of one billion frames. full coverage- Many existing systems offer high-resolution, partial coverage of an area. Rather than using pan/tilt/zoom cameras to maximize the resolution on a particular object, our system uses many static cmeras which offer full coverage all the time. With the advent of cheap hardware (cameras, signal processing, communications) we favor using many, small, cheap autonomous vision modules, rather than a few, expensive pan-tilt cameras only cover a portion of the scene at one time.
Automated configuration and processing- The most interesting aspect of our work is that it is almost completely automated. Once the cameras are placed and tracking begins, all the work performed by the system is done with minimal uman intervention. This includes maintaining a tracking database, relative calibration of the cameras, and object and activity classification.
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