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Abstract: in
large scale surveillance applications, coherent
presentation of data coming from myriad sensors
becomes a problem. For example, tasks such as
``locate an intruder'' are no longer easy when the
user is facing a room of monitors connected to
hundreds of cameras. Therefore, there is a need
for a system that allows the user to easily
navigate the data space. Due to the scale of the
application, such systems should also be robust
with respect to hardware and software failures, as
well as to varying bandwidth conditions.
Our strategy is to first build software units that
provide sensor abstractions (e.g., location of a
person, noise level of a predefined region) to
lessen the burden of dealing with individual
sensors from the user. Second, we project this
abstract sensor information into an augmented
virtual reality interface for presentation to the
user. The AVR interface offers a common medium to
display abstract information constructed from
multiple sensors, as well as allowing access to
raw sensor information such as video streams, or a
mixture of both. Also, the AVR interface can
synthesize views not serviced by the physical
cameras. The sensor abstraction and the smooth
transition between sensors enable the user to
intuitively navigate the data space. Further more,
through this interface, the user can dynamically
reconfigure the system resources.
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 Document Update |
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Post by Chao
3-10-03 |
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Ou,
S., Karuppiah, D.R, Fagg, A.H., Riseman, E.,
An Augmented Virtual Reality Interface for
Assistive Monitoring of Smart Spaces, in
the Proceedings of the Second IEEE International
Conference on Pervasive Computing and
Communications, Orlando, Florida, March, 2004 (pdf:
912K)
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