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Title
Unbiased Extended Object Tracking.
Abstract
The article focuses on goal of developing Bayesian framework for tracking extended objects that are based on noisy point measurements from boundary. Topics discussed include Spatial Distribution Models which incorporates probability distribution, statistical problem related to errors-in-variables (EIV) problems and sensor noise to be independent for measurements.