A Bayesian Framework for Robust Reasoning from Sensor Networks
نویسندگان
چکیده
The work described in this paper defines a Bayesian framework to use noisy, but redundant data from multiple sensor streams and incorporate it with the contextual and domain knowledge that is provided by both the physical constraints imposed by the local environment where the sensors are located and by the people that are involved in the surveillance tasks. The paper also presents the
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تاریخ انتشار 2005