Title :
Gaussian mixture tracking: MHT and ITS comparison
Author :
Taek Lyul Song ; Musicki, Darko ; Hyoung Won Kim ; Govaers, Felix
Author_Institution :
Dept. of Electron. Syst. Eng., Hanyang Univ., Seoul, South Korea
Abstract :
A Gaussian Mixture (GM) target tracking solution is a natural consequence of the multi-target tracking in clutter, given a linear target trajectory propagation and a linear target measurement equation. We examine and compare two prominent GM target trackers: the Multi Hypothesis Tracking (MHT) and the Integrated Track Splitting. Both incorporate the false track discrimination capabilities, enabling automatic target tracking in the presence of clutter measurements and missed detections.
Keywords :
Gaussian processes; clutter; mixture models; target tracking; GM target tracking; Gaussian mixture tracking; ITS; MHT; clutter; false track discrimination capability; integrated track splitting; linear target measurement equation; linear target trajectory propagation; multihypothesis tracking; multitarget tracking; Clutter; Radar tracking; Sea measurements; Sensors; Target tracking; Time measurement; Trajectory; ITS; MHT; Target tracking; data association; false track discrimination;
Conference_Titel :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on
Conference_Location :
Bonn
Print_ISBN :
978-1-4799-0777-9
DOI :
10.1109/SDF.2013.6698257
