UWTV Program: Location Estimation for Activity Recognition
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Location Estimation for Activity Recognition
Dieter Fox illustrates how Bayesian filtering can be applied to estimate the location of a person using sensors such as GPS, infrared, or WiFi. The techniques track a person on graph structures that represent a street map or a skeleton of the free space in a building. In the context of GPS, the research indicates how a graph representation can be embedded into a hierarchical activity model that learns and infers a user's daily movements through the community.

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Series Title:CSE Colloquia - 2005
Subject(s):Engineering and Computer Science
Speaker(s): Dieter Fox, associate professor and director, Robotics and State Estimation Lab, Computer Science & Engineering Department, University of Washington
Production Date: 02/08/2005
Runtime: 00:56:33
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