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Activity Number: 206
Type: Contributed
Date/Time: Monday, August 7, 2006 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #306052
Title: Tracking of Multiple Merging and Splitting Targets with Application to Convective Systems
Author(s): Curtis Storlie*+
Companies: North Carolina State University
Address: 2501 Founders Drive, Raleigh, NC, 27695,
Keywords: target tracking ; hidden Markov ; convective systems ; Gaussian processes ; Brownian motion
Abstract:

A statistical approach to multiple target tracking is presented which allows for birth, death, splitting and merging of targets. Targets are also allowed to go undetected for several frames. The splitting and merging of targets is a novel addition for a statistically based tracking algorithm. This addition is essential for the tracking of storms, which is the motivation for this work. The method assumes that the location of a target behaves like a Gaussian Process when it is observable. A Markov Chain model decides when the birth, death, splitting, or merging of targets takes place. The tracking estimate is achieved by an algorithm that finds the tracks that maximize the conditional density of the unknown variables given the data. An approach to quantify the confidence in a tracking estimate and some theoretical properties of the estimate are presented as well.

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