Cleaning trajectory data of RFID-monitored objects through conditioning under integrity constraints

Abstract

A probabilistic framework is introduced for reducing the inherent uncertainty of trajectory data collected for RFID-monitored objects. The framework represents the position of an object at each instant as a random variable over the set of possible locations. The probability density function of this random variable is initialized according to an a-priori… (More)
DOI: 10.5441/002/edbt.2014.35

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