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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. From the Series:CSE Colloquia - 2005
Video Length: 3393
Date Found: February 12, 2009
Date Produced: February 08, 2005
View Count: 2
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