Sequential Monte Carlo methods for contour tracking of contaminant clouds

Research output: Contribution to journalArticle (Academic Journal)

9 Citations (Scopus)

Abstract

This paper addresses the problem of contour tracking for airborne emission of contaminant clouds. This is of particular relevance in the context of anti-terrorism and military applications. This problem is solved by estimating the contour boundary positions using a set of particle filters. The use of sequential Monte Carlo techniques enables the tracking to be performed when the measurements are noisy. The tracking results also include the estimation uncertainty. The proposed technique is illustrated for both SCIPUFF and model generated emission scenarios and simulation experiments demonstrate successful tracking throughout the tracking period for both simple and complex environments.
Translated title of the contributionSequential Monte Carlo methods for contour tracking of contaminant clouds
Original languageEnglish
Pages (from-to)249 - 260
Number of pages12
JournalSignal Processing
Volume90 (1)
DOIs
Publication statusPublished - Jan 2010

Bibliographical note

Publisher: Elsevier Science B.V

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