Title :
Some notes on Gaussian tracking of objects exhibiting correlated motion
Author :
Franken, Dietrich
Author_Institution :
Sensor Tracking, Airbus Defence & Space, Ulm, Germany
Abstract :
In this paper, we discuss an approach to model object groups moving in a coordinated fashion within a Gaussian framework. For tracking the group members, we will derive an appropriate estimator based on the chosen model and detail some aspects to be considered when using the estimator in operational software. Possible limitations of the model as well as inherent differences to other existing approaches will also be discussed.
Keywords :
Gaussian processes; object tracking; Gaussian framework; Gaussian objects tracking; correlated motion; operational software; Correlation; Estimation error; Joints; Kernel; Mathematical model; Noise; Stochastic processes; Gaussian tracking; coordinated motion; object groups;
Conference_Titel :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014
Conference_Location :
Bonn
DOI :
10.1109/SDF.2014.6954709