Human
Intrusion Detection |
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This project developed an
automated visual surveillance system which is an
intelligent system based on computer vision
technology and built for the security purpose to
detect and track human intrusion and vandalism.
Detection of intrusions for early threat
assessment requires the capability of
distinguishing whether the intrusion is a human,
an animal, or other objects. Most low-cost
security systems use simple electronic motion
detection sensors to monitor motion or the
location of objects within the perimeter. Although
cost effective, these systems suffer from high
rates of false alarm, especially when monitoring
open environments giving rise to the need of human
detection.
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Graduate Students:
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Xiaoqian Xu
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Publications:
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D.J. Lee, P. Zhan, A. Thomas,
R.B. Schoenberger, ”Shape-based Human
Intrusion Detection”, SPIE International
Symposium on Defense and Security, Visual
Information Processing XIII, vol. 5438, p.
81-91, Orlando, Florida, USA, April 12-16,
2004.
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(Click
image to view.)
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