On multitarget track extraction and maintenance using sequential Monte Carlo methods

Martin Ulmke

doi:10.1117/12.616895

15 September 2005 On multitarget track extraction and maintenance using sequential Monte Carlo methods

Martin Ulmke

Proceedings Volume 5913, Signal and Data Processing of Small Targets 2005; 59130N (2005) https://doi.org/10.1117/12.616895
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

This contribution addresses the problem of tracking multiple moving objects simultaneously over time given measurements with false alarms and missing detections. Such a task becomes particularly intricate if the initial target number and targets states are unknown and if the individual targets are not separable. We employ a sequential Bayesian framework based on the Finite Set Statistic approach in order to estimate the number of targets and the target states simultaneously. The iterative .ltering equations are solved numerically using Particle Filter techniques. We describe a method for sequential tack extraction of multiple targets without relying on external information and present results for small groups of ground moving targets.

Citation Download Citation

Martin Ulmke "On multitarget track extraction and maintenance using sequential Monte Carlo methods", Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 59130N (15 September 2005); https://doi.org/10.1117/12.616895

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