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SUMMARY:(Research) Indoor object tracking using low-cost optical sensors /
  (Research)Modelling uncertainty in sensor data - Mattias Linnap and Agata
  Brajdic
DTSTART:20100301T140000Z
DTEND:20100301T150000Z
UID:TALK22537@talks.cam.ac.uk
CONTACT:Andrew Rice
DESCRIPTION:Indoor object tracking using low-cost optical sensors\, Agata 
 Brajdic\n\nThe purpose of this talk is to demonstrate applicability of usi
 ng low-cost optical sensor technology for indoor object tracking. The trac
 king is performed by processing data from object-mounted electronic unit w
 ith optical sensor with the particle filter technique. Although inexpensiv
 e\, such a system is expected to sustain object's alternating velocities w
 hilst maintaining an adequate level of positioning accuracy. Experience wi
 th the prototype implementation on a simple use case scenario will be repo
 rted. Finally\, directions for extending this work will be discussed\, whi
 ch would serve as a ground for my future PhD research.\n\nModelling uncert
 ainty in sensor data\, Mattias Linnap\n\nAll sensor data has uncertainty. 
 I will present a\nsurvey of recent techniques that embrace this fact using
  probabilistic models instead of trying to clean up the data. I will also 
 consider issues and solutions in data provenance: tracking the sources and
  reliability of scientific data.\n
LOCATION:SS03\, William Gates Building
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