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Date: 2001-02-23
Sensoren, Camouflage und das MIT
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Bald kömmt die Zeit wieder herauf, in der Wundermittel
gegen den bösen Blick der Kameras hoch im Kurs stehen
werden, Tarnkappen und Camouflage-Monturen gegen des
verräterische Wärmeprofil eines jeden Individuums.
Die schöne neue Welt des MIT bevölkern Visionen des
HNicholas Negroponte, die bei genauerem Hinsehen üble
Nachtalben sind.
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relayed by Matthew Gaylor <freematt@coil.com> via "g'o'tz
ohnesorge" plus comment: Bwuoerg! :(
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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 cameras 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 human intervention. This includes maintaining a
tracking database, relative calibration of the cameras, and
object and activity classification.
Visual Surveillance and Monitoring Project
http://www.ai.mit.edu/projects/vsam/
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edited by
published on: 2001-02-23
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